[{"id":"23525","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"dza_px_area_100m.png","continent":"Africa","country":"Algeria","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23528","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"ago_px_area_100m.png","continent":"Africa","country":"Angola","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23573","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"ben_px_area_100m.png","continent":"Africa","country":"Benin","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23543","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"bwa_px_area_100m.png","continent":"Africa","country":"Botswana","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23751","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"bfa_px_area_100m.png","continent":"Africa","country":"Burkina Faso","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23552","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"bdi_px_area_100m.png","continent":"Africa","country":"Burundi","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23555","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"cmr_px_area_100m.png","continent":"Africa","country":"Cameroon","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23556","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"cpv_px_area_100m.png","continent":"Africa","country":"Cape Verde","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23558","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"caf_px_area_100m.png","continent":"Africa","country":"Central African Republic","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23560","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"tcd_px_area_100m.png","continent":"Africa","country":"Chad","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23563","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"com_px_area_100m.png","continent":"Africa","country":"Comoros","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23622","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"civ_px_area_100m.png","continent":"Africa","country":"Cote d'Ivoire","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23593","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"dji_px_area_100m.png","continent":"Africa","country":"Djibouti","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23566","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"cod_px_area_100m.png","continent":"Africa","country":"DRC","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23745","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"egy_px_area_100m.png","continent":"Africa","country":"Egypt","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23579","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"gnq_px_area_100m.png","continent":"Africa","country":"Equatorial Guinea","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23581","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"eri_px_area_100m.png","continent":"Africa","country":"Eritrea","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23726","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"swz_px_area_100m.png","continent":"Africa","country":"Eswatini","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23580","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"eth_px_area_100m.png","continent":"Africa","country":"Ethiopia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23594","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"gab_px_area_100m.png","continent":"Africa","country":"Gabon","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23596","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"gmb_px_area_100m.png","continent":"Africa","country":"Gambia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23599","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"gha_px_area_100m.png","continent":"Africa","country":"Ghana","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23607","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"gin_px_area_100m.png","continent":"Africa","country":"Guinea","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23691","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"gnb_px_area_100m.png","continent":"Africa","country":"Guinea-Bissau","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23627","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"ken_px_area_100m.png","continent":"Africa","country":"Kenya","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23634","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"lso_px_area_100m.png","continent":"Africa","country":"Lesotho","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23636","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"lbr_px_area_100m.png","continent":"Africa","country":"Liberia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23637","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"lby_px_area_100m.png","continent":"Africa","country":"Libya","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23642","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"mdg_px_area_100m.png","continent":"Africa","country":"Madagascar","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23643","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"mwi_px_area_100m.png","continent":"Africa","country":"Malawi","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23646","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"mli_px_area_100m.png","continent":"Africa","country":"Mali","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23649","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"mrt_px_area_100m.png","continent":"Africa","country":"Mauritania","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23650","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"mus_px_area_100m.png","continent":"Africa","country":"Mauritius","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23564","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"myt_px_area_100m.png","continent":"Africa","country":"Mayotte","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23657","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"mar_px_area_100m.png","continent":"Africa","country":"Morocco","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23658","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"moz_px_area_100m.png","continent":"Africa","country":"Mozambique","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23660","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"nam_px_area_100m.png","continent":"Africa","country":"Namibia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23672","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"ner_px_area_100m.png","continent":"Africa","country":"Niger","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23673","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"nga_px_area_100m.png","continent":"Africa","country":"Nigeria","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23565","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"cog_px_area_100m.png","continent":"Africa","country":"Rep. Congo","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23695","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"reu_px_area_100m.png","continent":"Africa","country":"R\u00e9union","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23697","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"rwa_px_area_100m.png","continent":"Africa","country":"Rwanda","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23699","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"shn_px_area_100m.png","continent":"Africa","country":"Saint Helena, Ascension and Tristan da Cunha","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23707","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"stp_px_area_100m.png","continent":"Africa","country":"Sao Tome and Principe","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23709","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"sen_px_area_100m.png","continent":"Africa","country":"Senegal","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23711","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"syc_px_area_100m.png","continent":"Africa","country":"Seychelles","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23712","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"sle_px_area_100m.png","continent":"Africa","country":"Sierra Leone","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23717","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"som_px_area_100m.png","continent":"Africa","country":"Somalia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23718","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"zaf_px_area_100m.png","continent":"Africa","country":"South Africa","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23721","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"ssd_px_area_100m.png","continent":"Africa","country":"South Sudan","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23722","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"sdn_px_area_100m.png","continent":"Africa","country":"Sudan","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23750","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"tza_px_area_100m.png","continent":"Africa","country":"Tanzania","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23732","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"tgo_px_area_100m.png","continent":"Africa","country":"Togo","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23737","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"tun_px_area_100m.png","continent":"Africa","country":"Tunisia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23742","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"uga_px_area_100m.png","continent":"Africa","country":"Uganda","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23723","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"esh_px_area_100m.png","continent":"Africa","country":"Western Sahara","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23758","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"zmb_px_area_100m.png","continent":"Africa","country":"Zambia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23719","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"zwe_px_area_100m.png","continent":"Africa","country":"Zimbabwe","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23701","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"aia_px_area_100m.png","continent":"Americas","country":"Anguilla","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23529","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"atg_px_area_100m.png","continent":"Americas","country":"Antigua and Barbuda","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23531","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"arg_px_area_100m.png","continent":"Americas","country":"Argentina","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23665","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"abw_px_area_100m.png","continent":"Americas","country":"Aruba","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23533","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"bhs_px_area_100m.png","continent":"Americas","country":"Bahamas","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23537","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"brb_px_area_100m.png","continent":"Americas","country":"Barbados","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23545","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"blz_px_area_100m.png","continent":"Americas","country":"Belize","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23539","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"bmu_px_area_100m.png","continent":"Americas","country":"Bermuda","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23541","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"bol_px_area_100m.png","continent":"Americas","country":"Bolivia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23667","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"bes_px_area_100m.png","continent":"Americas","country":"Bonaire, Sint Eustatius and Saba","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23519","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"bra_px_area_100m.png","continent":"Americas","country":"Brazil","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23548","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"vgb_px_area_100m.png","continent":"Americas","country":"British Virgin Islands","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23520","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"can_px_area_100m.png","continent":"Americas","country":"Canada","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23557","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"cym_px_area_100m.png","continent":"Americas","country":"Cayman Islands","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23521","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"chl_px_area_100m.png","continent":"Americas","country":"Chile","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23562","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"col_px_area_100m.png","continent":"Americas","country":"Colombia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23568","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"cri_px_area_100m.png","continent":"Americas","country":"Costa Rica","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23570","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"cub_px_area_100m.png","continent":"Americas","country":"Cuba","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23664","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"cuw_px_area_100m.png","continent":"Americas","country":"Cura\u00e7ao","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23575","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"dma_px_area_100m.png","continent":"Americas","country":"Dominica","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23576","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"dom_px_area_100m.png","continent":"Americas","country":"Dominican Republic","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23577","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"ecu_px_area_100m.png","continent":"Americas","country":"Ecuador","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23578","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"slv_px_area_100m.png","continent":"Americas","country":"El Salvador","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23584","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"flk_px_area_100m.png","continent":"Americas","country":"Falkland Islands (Malvinas)","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23590","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"guf_px_area_100m.png","continent":"Americas","country":"French Guiana","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23516","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"grl_px_area_100m.png","continent":"Americas","country":"Greenland","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23603","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"grd_px_area_100m.png","continent":"Americas","country":"Grenada","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23604","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"glp_px_area_100m.png","continent":"Americas","country":"Guadeloupe","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23606","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"gtm_px_area_100m.png","continent":"Americas","country":"Guatemala","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23608","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"guy_px_area_100m.png","continent":"Americas","country":"Guyana","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23609","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"hti_px_area_100m.png","continent":"Americas","country":"Haiti","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23612","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"hnd_px_area_100m.png","continent":"Americas","country":"Honduras","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23623","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"jam_px_area_100m.png","continent":"Americas","country":"Jamaica","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23648","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"mtq_px_area_100m.png","continent":"Americas","country":"Martinique","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23651","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"mex_px_area_100m.png","continent":"Americas","country":"Mexico","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23656","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"msr_px_area_100m.png","continent":"Americas","country":"Montserrat","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23671","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"nic_px_area_100m.png","continent":"Americas","country":"Nicaragua","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23683","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"pan_px_area_100m.png","continent":"Americas","country":"Panama","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23685","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"pry_px_area_100m.png","continent":"Americas","country":"Paraguay","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23686","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"per_px_area_100m.png","continent":"Americas","country":"Peru","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23693","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"pri_px_area_100m.png","continent":"Americas","country":"Puerto Rico","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23698","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"blm_px_area_100m.png","continent":"Americas","country":"Saint Barth\u00e9lemy","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23700","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"kna_px_area_100m.png","continent":"Americas","country":"Saint Kitts and Nevis","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23702","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"lca_px_area_100m.png","continent":"Americas","country":"Saint Lucia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23703","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"maf_px_area_100m.png","continent":"Americas","country":"Saint Martin","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23704","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"spm_px_area_100m.png","continent":"Americas","country":"Saint Pierre and Miquelon","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23705","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"vct_px_area_100m.png","continent":"Americas","country":"Saint Vincent and the Grenadines","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23666","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"sxm_px_area_100m.png","continent":"Americas","country":"Sint Maarten (Dutch part)","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23724","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"sur_px_area_100m.png","continent":"Americas","country":"Suriname","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23735","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"tto_px_area_100m.png","continent":"Americas","country":"Trinidad and Tobago","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23740","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"tca_px_area_100m.png","continent":"Americas","country":"Turks and Caicos Islands","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23514","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"usa_px_area_100m.png","continent":"Americas","country":"United States of America","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23515","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"vir_px_area_100m.png","continent":"Americas","country":"United States Virgin Islands","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23752","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"ury_px_area_100m.png","continent":"Americas","country":"Uruguay","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23754","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"ven_px_area_100m.png","continent":"Americas","country":"Venezuela","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23524","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"ata_px_area_100m.png","continent":"Antarctica","country":"Antarctica","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23544","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"bvt_px_area_100m.png","continent":"Antarctica","country":"Bouvet Island (Bouvetoya)","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23592","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"atf_px_area_100m.png","continent":"Antarctica","country":"French Southern Territories","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23610","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"hmd_px_area_100m.png","continent":"Antarctica","country":"Heard Island and McDonald Islands","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23585","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"sgs_px_area_100m.png","continent":"Antarctica","country":"South Georgia and the South Sandwich Islands","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23522","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"afg_px_area_100m.png","continent":"Asia","country":"Afghanistan","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23536","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"arm_px_area_100m.png","continent":"Asia","country":"Armenia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23530","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"aze_px_area_100m.png","continent":"Asia","country":"Azerbaijan","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23534","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"bhr_px_area_100m.png","continent":"Asia","country":"Bahrain","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23535","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"bgd_px_area_100m.png","continent":"Asia","country":"Bangladesh","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23540","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"btn_px_area_100m.png","continent":"Asia","country":"Bhutan","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23546","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"iot_px_area_100m.png","continent":"Asia","country":"British Indian Ocean Territory (Chagos Archipelago)","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23549","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"brn_px_area_100m.png","continent":"Asia","country":"Brunei Darussalam","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23554","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"khm_px_area_100m.png","continent":"Asia","country":"Cambodia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23517","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"chn_px_area_100m.png","continent":"Asia","country":"China","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23571","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"cyp_px_area_100m.png","continent":"Asia","country":"Cyprus","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23595","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"geo_px_area_100m.png","continent":"Asia","country":"Georgia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23613","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"hkg_px_area_100m.png","continent":"Asia","country":"Hong Kong","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23616","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"ind_px_area_100m.png","continent":"Asia","country":"India","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23513","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"idn_px_area_100m.png","continent":"Asia","country":"Indonesia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23617","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"irn_px_area_100m.png","continent":"Asia","country":"Iran","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23618","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"irq_px_area_100m.png","continent":"Asia","country":"Iraq","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23620","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"isr_px_area_100m.png","continent":"Asia","country":"Israel","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23624","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"jpn_px_area_100m.png","continent":"Asia","country":"Japan","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23626","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"jor_px_area_100m.png","continent":"Asia","country":"Jordan","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23625","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"kaz_px_area_100m.png","continent":"Asia","country":"Kazakhstan","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23630","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"kwt_px_area_100m.png","continent":"Asia","country":"Kuwait","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23631","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"kgz_px_area_100m.png","continent":"Asia","country":"Kyrgyz Republic","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23632","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"lao_px_area_100m.png","continent":"Asia","country":"Lao People's Democratic Republic","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23633","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"lbn_px_area_100m.png","continent":"Asia","country":"Lebanon","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23641","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"mac_px_area_100m.png","continent":"Asia","country":"Macao","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23644","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"mys_px_area_100m.png","continent":"Asia","country":"Malaysia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23645","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"mdv_px_area_100m.png","continent":"Asia","country":"Maldives","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23653","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"mng_px_area_100m.png","continent":"Asia","country":"Mongolia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23551","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"mmr_px_area_100m.png","continent":"Asia","country":"Myanmar","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23662","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"npl_px_area_100m.png","continent":"Asia","country":"Nepal","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23628","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"prk_px_area_100m.png","continent":"Asia","country":"North Korea","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23659","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"omn_px_area_100m.png","continent":"Asia","country":"Oman","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23682","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"pak_px_area_100m.png","continent":"Asia","country":"Pakistan","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23597","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"pse_px_area_100m.png","continent":"Asia","country":"Palestinian Territory","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23687","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"phl_px_area_100m.png","continent":"Asia","country":"Philippines","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23694","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"qat_px_area_100m.png","continent":"Asia","country":"Qatar","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23708","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"sau_px_area_100m.png","continent":"Asia","country":"Saudi Arabia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23713","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"sgp_px_area_100m.png","continent":"Asia","country":"Singapore","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23629","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"kor_px_area_100m.png","continent":"Asia","country":"South Korea","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23760","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"spr_px_area_100m.png","continent":"Asia","country":"Spratly Islands","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23559","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"lka_px_area_100m.png","continent":"Asia","country":"Sri Lanka","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23729","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"syr_px_area_100m.png","continent":"Asia","country":"Syrian Arab Republic","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23561","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"twn_px_area_100m.png","continent":"Asia","country":"Taiwan","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23730","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"tjk_px_area_100m.png","continent":"Asia","country":"Tajikistan","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23731","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"tha_px_area_100m.png","continent":"Asia","country":"Thailand","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23692","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"tls_px_area_100m.png","continent":"Asia","country":"Timor-Leste","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23738","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"tur_px_area_100m.png","continent":"Asia","country":"Turkiye","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23739","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"tkm_px_area_100m.png","continent":"Asia","country":"Turkmenistan","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23736","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"are_px_area_100m.png","continent":"Asia","country":"United Arab Emirates","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23753","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"uzb_px_area_100m.png","continent":"Asia","country":"Uzbekistan","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23715","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"vnm_px_area_100m.png","continent":"Asia","country":"Vietnam","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23757","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"yem_px_area_100m.png","continent":"Asia","country":"Yemen","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23523","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"alb_px_area_100m.png","continent":"Europe","country":"Albania","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23527","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"and_px_area_100m.png","continent":"Europe","country":"Andorra","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23532","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"aut_px_area_100m.png","continent":"Europe","country":"Austria","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23553","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"blr_px_area_100m.png","continent":"Europe","country":"Belarus","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23538","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"bel_px_area_100m.png","continent":"Europe","country":"Belgium","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23542","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"bih_px_area_100m.png","continent":"Europe","country":"Bosnia and Herzegovina","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23550","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"bgr_px_area_100m.png","continent":"Europe","country":"Bulgaria","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23569","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"hrv_px_area_100m.png","continent":"Europe","country":"Croatia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23572","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"cze_px_area_100m.png","continent":"Europe","country":"Czech Republic","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23574","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"dnk_px_area_100m.png","continent":"Europe","country":"Denmark","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23582","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"est_px_area_100m.png","continent":"Europe","country":"Estonia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23583","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"fro_px_area_100m.png","continent":"Europe","country":"Faroe Islands","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23587","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"fin_px_area_100m.png","continent":"Europe","country":"Finland","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23589","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"fra_px_area_100m.png","continent":"Europe","country":"France","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23598","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"deu_px_area_100m.png","continent":"Europe","country":"Germany","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23600","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"gib_px_area_100m.png","continent":"Europe","country":"Gibraltar","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23602","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"grc_px_area_100m.png","continent":"Europe","country":"Greece","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23747","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"ggy_px_area_100m.png","continent":"Europe","country":"Guernsey","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23611","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"vat_px_area_100m.png","continent":"Europe","country":"Holy See (Vatican City State)","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23614","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"hun_px_area_100m.png","continent":"Europe","country":"Hungary","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23615","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"isl_px_area_100m.png","continent":"Europe","country":"Iceland","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23619","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"irl_px_area_100m.png","continent":"Europe","country":"Ireland","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23749","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"imn_px_area_100m.png","continent":"Europe","country":"Isle of Man","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23621","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"ita_px_area_100m.png","continent":"Europe","country":"Italy","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23748","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"jey_px_area_100m.png","continent":"Europe","country":"Jersey","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23759","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"kos_px_area_100m.png","continent":"Europe","country":"Kosovo ","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23635","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"lva_px_area_100m.png","continent":"Europe","country":"Latvia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23638","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"lie_px_area_100m.png","continent":"Europe","country":"Liechtenstein","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23639","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"ltu_px_area_100m.png","continent":"Europe","country":"Lithuania","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23640","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"lux_px_area_100m.png","continent":"Europe","country":"Luxembourg","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23744","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"mkd_px_area_100m.png","continent":"Europe","country":"Macedonia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23647","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"mlt_px_area_100m.png","continent":"Europe","country":"Malta","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23654","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"mda_px_area_100m.png","continent":"Europe","country":"Moldova","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23652","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"mco_px_area_100m.png","continent":"Europe","country":"Monaco","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23655","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"mne_px_area_100m.png","continent":"Europe","country":"Montenegro","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23663","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"nld_px_area_100m.png","continent":"Europe","country":"Netherlands","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23676","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"nor_px_area_100m.png","continent":"Europe","country":"Norway","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23689","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"pol_px_area_100m.png","continent":"Europe","country":"Poland","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23690","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"prt_px_area_100m.png","continent":"Europe","country":"Portugal","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23696","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"rou_px_area_100m.png","continent":"Europe","country":"Romania","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23512","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"rus_px_area_100m.png","continent":"Europe","country":"Russian Federation","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23706","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"smr_px_area_100m.png","continent":"Europe","country":"San Marino","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23710","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"srb_px_area_100m.png","continent":"Europe","country":"Serbia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23714","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"svk_px_area_100m.png","continent":"Europe","country":"Slovakia (Slovak Republic)","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23716","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"svn_px_area_100m.png","continent":"Europe","country":"Slovenia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23720","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"esp_px_area_100m.png","continent":"Europe","country":"Spain","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23725","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"sjm_px_area_100m.png","continent":"Europe","country":"Svalbard & Jan Mayen Islands","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23727","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"swe_px_area_100m.png","continent":"Europe","country":"Sweden","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23728","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"che_px_area_100m.png","continent":"Europe","country":"Switzerland","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23743","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"ukr_px_area_100m.png","continent":"Europe","country":"Ukraine","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23746","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"gbr_px_area_100m.png","continent":"Europe","country":"United Kingdom of Great Britain & Northern Ireland","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23588","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"ala_px_area_100m.png","continent":"Europe","country":"\u00c5land Islands","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23526","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"asm_px_area_100m.png","continent":"Oceania","country":"American Samoa","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23518","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"aus_px_area_100m.png","continent":"Oceania","country":"Australia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23567","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"cok_px_area_100m.png","continent":"Oceania","country":"Cook Islands","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23586","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"fji_px_area_100m.png","continent":"Oceania","country":"Fiji","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23591","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"pyf_px_area_100m.png","continent":"Oceania","country":"French Polynesia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23605","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"gum_px_area_100m.png","continent":"Oceania","country":"Guam","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23601","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"kir_px_area_100m.png","continent":"Oceania","country":"Kiribati","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23680","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"mhl_px_area_100m.png","continent":"Oceania","country":"Marshall Islands","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23679","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"fsm_px_area_100m.png","continent":"Oceania","country":"Micronesia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23661","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"nru_px_area_100m.png","continent":"Oceania","country":"Nauru","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23668","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"ncl_px_area_100m.png","continent":"Oceania","country":"New Caledonia","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23670","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"nzl_px_area_100m.png","continent":"Oceania","country":"New Zealand","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23674","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"niu_px_area_100m.png","continent":"Oceania","country":"Niue","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23675","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"nfk_px_area_100m.png","continent":"Oceania","country":"Norfolk Island","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23677","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"mnp_px_area_100m.png","continent":"Oceania","country":"Northern Mariana Islands","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23681","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"plw_px_area_100m.png","continent":"Oceania","country":"Palau","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23684","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"png_px_area_100m.png","continent":"Oceania","country":"Papua New Guinea","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23688","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"pcn_px_area_100m.png","continent":"Oceania","country":"Pitcairn Islands","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23756","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"wsm_px_area_100m.png","continent":"Oceania","country":"Samoa","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23547","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"slb_px_area_100m.png","continent":"Oceania","country":"Solomon Islands","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23733","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"tkl_px_area_100m.png","continent":"Oceania","country":"Tokelau","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23734","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"ton_px_area_100m.png","continent":"Oceania","country":"Tonga","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23741","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"tuv_px_area_100m.png","continent":"Oceania","country":"Tuvalu","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23678","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"umi_px_area_100m.png","continent":"Oceania","country":"United States Minor Outlying Islands","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23669","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"vut_px_area_100m.png","continent":"Oceania","country":"Vanuatu","resolution":"100","type":"Grid cell surface area","file_html":""},{"id":"23755","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second approximately 100m at the equator. The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its surface area (in square meters).<br\/><br\/><b>Data Source<\/b>: Population data sources (for the whole 2000-2020 period)<br\/><b>Methodology<\/b>: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. Bondarenko, A. Sorichetta, and A. J. Tatem, 2019. \"Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets\". Big Earth Data (<a href=\"https:\/\/doi.org\/10.1080\/20964471.2019.1625151\" target=\"_blank\">https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>); modified from Santini M., Taramelli A., and Sorichetta A., 2010. \"ASPHAA: a GIS-based algorithm to calculate cell area on a latitude-longitude (geographic) regular grid\". Transactions in GIS, 14(3), 351-377 (<a href=\"https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x\" target=\"_blank\">https:\/\/doi.org\/10.1111\/j.1467-9671.2010.01200.x<\/a>).","doi":"10.5258\/SOTON\/WP00652","popyear":null,"date":"2018-11-02","file_img":"wlf_px_area_100m.png","continent":"Oceania","country":"Wallis and Futuna","resolution":"100","type":"Grid cell surface area","file_html":""}]