[{"id":"23276","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 elevation above the sea level (in meters).Filenames<\/b>: Example - dza_srtm_topo_100m.tif represents SRTM elevation 2000 in AlgeriaData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"dza_srtm_topo_100m.png","continent":"Africa","country":"Algeria","resolution":"100","type":"Covariates","file_html":""},{"id":"23279","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 elevation above the sea level (in meters).Filenames<\/b>: Example - ago_srtm_topo_100m.tif represents SRTM elevation 2000 in AngolaData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"ago_srtm_topo_100m.png","continent":"Africa","country":"Angola","resolution":"100","type":"Covariates","file_html":""},{"id":"23324","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 elevation above the sea level (in meters).Filenames<\/b>: Example - ben_srtm_topo_100m.tif represents SRTM elevation 2000 in BeninData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"ben_srtm_topo_100m.png","continent":"Africa","country":"Benin","resolution":"100","type":"Covariates","file_html":""},{"id":"23294","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 elevation above the sea level (in meters).Filenames<\/b>: Example - bwa_srtm_topo_100m.tif represents SRTM elevation 2000 in BotswanaData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"bwa_srtm_topo_100m.png","continent":"Africa","country":"Botswana","resolution":"100","type":"Covariates","file_html":""},{"id":"23502","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 elevation above the sea level (in meters).Filenames<\/b>: Example - bfa_srtm_topo_100m.tif represents SRTM elevation 2000 in Burkina FasoData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"bfa_srtm_topo_100m.png","continent":"Africa","country":"Burkina Faso","resolution":"100","type":"Covariates","file_html":""},{"id":"23303","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 elevation above the sea level (in meters).Filenames<\/b>: Example - bdi_srtm_topo_100m.tif represents SRTM elevation 2000 in BurundiData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"bdi_srtm_topo_100m.png","continent":"Africa","country":"Burundi","resolution":"100","type":"Covariates","file_html":""},{"id":"23306","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 elevation above the sea level (in meters).Filenames<\/b>: Example - cmr_srtm_topo_100m.tif represents SRTM elevation 2000 in CameroonData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"cmr_srtm_topo_100m.png","continent":"Africa","country":"Cameroon","resolution":"100","type":"Covariates","file_html":""},{"id":"23307","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 elevation above the sea level (in meters).Filenames<\/b>: Example - cpv_srtm_topo_100m.tif represents SRTM elevation 2000 in Cape VerdeData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"cpv_srtm_topo_100m.png","continent":"Africa","country":"Cape Verde","resolution":"100","type":"Covariates","file_html":""},{"id":"23309","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 elevation above the sea level (in meters).Filenames<\/b>: Example - caf_srtm_topo_100m.tif represents SRTM elevation 2000 in Central African RepublicData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"caf_srtm_topo_100m.png","continent":"Africa","country":"Central African Republic","resolution":"100","type":"Covariates","file_html":""},{"id":"23311","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 elevation above the sea level (in meters).Filenames<\/b>: Example - tcd_srtm_topo_100m.tif represents SRTM elevation 2000 in ChadData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"tcd_srtm_topo_100m.png","continent":"Africa","country":"Chad","resolution":"100","type":"Covariates","file_html":""},{"id":"23314","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 elevation above the sea level (in meters).Filenames<\/b>: Example - com_srtm_topo_100m.tif represents SRTM elevation 2000 in ComorosData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"com_srtm_topo_100m.png","continent":"Africa","country":"Comoros","resolution":"100","type":"Covariates","file_html":""},{"id":"23373","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 elevation above the sea level (in meters).Filenames<\/b>: Example - civ_srtm_topo_100m.tif represents SRTM elevation 2000 in CIte dIvoireData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"civ_srtm_topo_100m.png","continent":"Africa","country":"Cote d'Ivoire","resolution":"100","type":"Covariates","file_html":""},{"id":"23344","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 elevation above the sea level (in meters).Filenames<\/b>: Example - dji_srtm_topo_100m.tif represents SRTM elevation 2000 in DjiboutiData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"dji_srtm_topo_100m.png","continent":"Africa","country":"Djibouti","resolution":"100","type":"Covariates","file_html":""},{"id":"23317","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 elevation above the sea level (in meters).Filenames<\/b>: Example - cod_srtm_topo_100m.tif represents SRTM elevation 2000 in Democratic Republic of the CongoData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"cod_srtm_topo_100m.png","continent":"Africa","country":"DRC","resolution":"100","type":"Covariates","file_html":""},{"id":"23496","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 elevation above the sea level (in meters).Filenames<\/b>: Example - egy_srtm_topo_100m.tif represents SRTM elevation 2000 in EgyptData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"egy_srtm_topo_100m.png","continent":"Africa","country":"Egypt","resolution":"100","type":"Covariates","file_html":""},{"id":"23330","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 elevation above the sea level (in meters).Filenames<\/b>: Example - gnq_srtm_topo_100m.tif represents SRTM elevation 2000 in Equatorial GuineaData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"gnq_srtm_topo_100m.png","continent":"Africa","country":"Equatorial Guinea","resolution":"100","type":"Covariates","file_html":""},{"id":"23332","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 elevation above the sea level (in meters).Filenames<\/b>: Example - eri_srtm_topo_100m.tif represents SRTM elevation 2000 in EritreaData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"eri_srtm_topo_100m.png","continent":"Africa","country":"Eritrea","resolution":"100","type":"Covariates","file_html":""},{"id":"23477","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 elevation above the sea level (in meters).Filenames<\/b>: Example - swz_srtm_topo_100m.tif represents SRTM elevation 2000 in SwazilandData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"swz_srtm_topo_100m.png","continent":"Africa","country":"Eswatini","resolution":"100","type":"Covariates","file_html":""},{"id":"23331","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 elevation above the sea level (in meters).Filenames<\/b>: Example - eth_srtm_topo_100m.tif represents SRTM elevation 2000 in EthiopiaData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"eth_srtm_topo_100m.png","continent":"Africa","country":"Ethiopia","resolution":"100","type":"Covariates","file_html":""},{"id":"23345","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 elevation above the sea level (in meters).Filenames<\/b>: Example - gab_srtm_topo_100m.tif represents SRTM elevation 2000 in GabonData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"gab_srtm_topo_100m.png","continent":"Africa","country":"Gabon","resolution":"100","type":"Covariates","file_html":""},{"id":"23347","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 elevation above the sea level (in meters).Filenames<\/b>: Example - gmb_srtm_topo_100m.tif represents SRTM elevation 2000 in GambiaData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"gmb_srtm_topo_100m.png","continent":"Africa","country":"Gambia","resolution":"100","type":"Covariates","file_html":""},{"id":"23350","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 elevation above the sea level (in meters).Filenames<\/b>: Example - gha_srtm_topo_100m.tif represents SRTM elevation 2000 in GhanaData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"gha_srtm_topo_100m.png","continent":"Africa","country":"Ghana","resolution":"100","type":"Covariates","file_html":""},{"id":"23358","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 elevation above the sea level (in meters).Filenames<\/b>: Example - gin_srtm_topo_100m.tif represents SRTM elevation 2000 in GuineaData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"gin_srtm_topo_100m.png","continent":"Africa","country":"Guinea","resolution":"100","type":"Covariates","file_html":""},{"id":"23442","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 elevation above the sea level (in meters).Filenames<\/b>: Example - gnb_srtm_topo_100m.tif represents SRTM elevation 2000 in Guinea-BissauData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"gnb_srtm_topo_100m.png","continent":"Africa","country":"Guinea-Bissau","resolution":"100","type":"Covariates","file_html":""},{"id":"23378","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 elevation above the sea level (in meters).Filenames<\/b>: Example - ken_srtm_topo_100m.tif represents SRTM elevation 2000 in KenyaData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"ken_srtm_topo_100m.png","continent":"Africa","country":"Kenya","resolution":"100","type":"Covariates","file_html":""},{"id":"23385","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 elevation above the sea level (in meters).Filenames<\/b>: Example - lso_srtm_topo_100m.tif represents SRTM elevation 2000 in LesothoData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"lso_srtm_topo_100m.png","continent":"Africa","country":"Lesotho","resolution":"100","type":"Covariates","file_html":""},{"id":"23387","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 elevation above the sea level (in meters).Filenames<\/b>: Example - lbr_srtm_topo_100m.tif represents SRTM elevation 2000 in LiberiaData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"lbr_srtm_topo_100m.png","continent":"Africa","country":"Liberia","resolution":"100","type":"Covariates","file_html":""},{"id":"23388","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 elevation above the sea level (in meters).Filenames<\/b>: Example - lby_srtm_topo_100m.tif represents SRTM elevation 2000 in LibyaData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"lby_srtm_topo_100m.png","continent":"Africa","country":"Libya","resolution":"100","type":"Covariates","file_html":""},{"id":"23393","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 elevation above the sea level (in meters).Filenames<\/b>: Example - mdg_srtm_topo_100m.tif represents SRTM elevation 2000 in MadagascarData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"mdg_srtm_topo_100m.png","continent":"Africa","country":"Madagascar","resolution":"100","type":"Covariates","file_html":""},{"id":"23394","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 elevation above the sea level (in meters).Filenames<\/b>: Example - mwi_srtm_topo_100m.tif represents SRTM elevation 2000 in MalawiData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"mwi_srtm_topo_100m.png","continent":"Africa","country":"Malawi","resolution":"100","type":"Covariates","file_html":""},{"id":"23397","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 elevation above the sea level (in meters).Filenames<\/b>: Example - mli_srtm_topo_100m.tif represents SRTM elevation 2000 in MaliData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"mli_srtm_topo_100m.png","continent":"Africa","country":"Mali","resolution":"100","type":"Covariates","file_html":""},{"id":"23400","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 elevation above the sea level (in meters).Filenames<\/b>: Example - mrt_srtm_topo_100m.tif represents SRTM elevation 2000 in MauritaniaData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"mrt_srtm_topo_100m.png","continent":"Africa","country":"Mauritania","resolution":"100","type":"Covariates","file_html":""},{"id":"23401","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 elevation above the sea level (in meters).Filenames<\/b>: Example - mus_srtm_topo_100m.tif represents SRTM elevation 2000 in MauritiusData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"mus_srtm_topo_100m.png","continent":"Africa","country":"Mauritius","resolution":"100","type":"Covariates","file_html":""},{"id":"23315","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 elevation above the sea level (in meters).Filenames<\/b>: Example - myt_srtm_topo_100m.tif represents SRTM elevation 2000 in MayotteData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"myt_srtm_topo_100m.png","continent":"Africa","country":"Mayotte","resolution":"100","type":"Covariates","file_html":""},{"id":"23408","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 elevation above the sea level (in meters).Filenames<\/b>: Example - mar_srtm_topo_100m.tif represents SRTM elevation 2000 in MoroccoData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"mar_srtm_topo_100m.png","continent":"Africa","country":"Morocco","resolution":"100","type":"Covariates","file_html":""},{"id":"23409","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 elevation above the sea level (in meters).Filenames<\/b>: Example - moz_srtm_topo_100m.tif represents SRTM elevation 2000 in MozambiqueData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"moz_srtm_topo_100m.png","continent":"Africa","country":"Mozambique","resolution":"100","type":"Covariates","file_html":""},{"id":"23411","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 elevation above the sea level (in meters).Filenames<\/b>: Example - nam_srtm_topo_100m.tif represents SRTM elevation 2000 in NamibiaData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"nam_srtm_topo_100m.png","continent":"Africa","country":"Namibia","resolution":"100","type":"Covariates","file_html":""},{"id":"23423","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 elevation above the sea level (in meters).Filenames<\/b>: Example - ner_srtm_topo_100m.tif represents SRTM elevation 2000 in NigerData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"ner_srtm_topo_100m.png","continent":"Africa","country":"Niger","resolution":"100","type":"Covariates","file_html":""},{"id":"23424","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 elevation above the sea level (in meters).Filenames<\/b>: Example - nga_srtm_topo_100m.tif represents SRTM elevation 2000 in NigeriaData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"nga_srtm_topo_100m.png","continent":"Africa","country":"Nigeria","resolution":"100","type":"Covariates","file_html":""},{"id":"23316","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 elevation above the sea level (in meters).Filenames<\/b>: Example - cog_srtm_topo_100m.tif represents SRTM elevation 2000 in Republic of CongoData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"cog_srtm_topo_100m.png","continent":"Africa","country":"Rep. Congo","resolution":"100","type":"Covariates","file_html":""},{"id":"23446","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 elevation above the sea level (in meters).Filenames<\/b>: Example - reu_srtm_topo_100m.tif represents SRTM elevation 2000 in ReunionData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"reu_srtm_topo_100m.png","continent":"Africa","country":"R\u00e9union","resolution":"100","type":"Covariates","file_html":""},{"id":"23448","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 elevation above the sea level (in meters).Filenames<\/b>: Example - rwa_srtm_topo_100m.tif represents SRTM elevation 2000 in RwandaData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"rwa_srtm_topo_100m.png","continent":"Africa","country":"Rwanda","resolution":"100","type":"Covariates","file_html":""},{"id":"23450","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 elevation above the sea level (in meters).Filenames<\/b>: Example - shn_srtm_topo_100m.tif represents SRTM elevation 2000 in Saint HelenaData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"shn_srtm_topo_100m.png","continent":"Africa","country":"Saint Helena, Ascension and Tristan da Cunha","resolution":"100","type":"Covariates","file_html":""},{"id":"23458","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 elevation above the sea level (in meters).Filenames<\/b>: Example - stp_srtm_topo_100m.tif represents SRTM elevation 2000 in Sao Tome and PrincipeData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"stp_srtm_topo_100m.png","continent":"Africa","country":"Sao Tome and Principe","resolution":"100","type":"Covariates","file_html":""},{"id":"23460","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 elevation above the sea level (in meters).Filenames<\/b>: Example - sen_srtm_topo_100m.tif represents SRTM elevation 2000 in SenegalData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"sen_srtm_topo_100m.png","continent":"Africa","country":"Senegal","resolution":"100","type":"Covariates","file_html":""},{"id":"23462","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 elevation above the sea level (in meters).Filenames<\/b>: Example - syc_srtm_topo_100m.tif represents SRTM elevation 2000 in SeychellesData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"syc_srtm_topo_100m.png","continent":"Africa","country":"Seychelles","resolution":"100","type":"Covariates","file_html":""},{"id":"23463","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 elevation above the sea level (in meters).Filenames<\/b>: Example - sle_srtm_topo_100m.tif represents SRTM elevation 2000 in Sierra LeoneData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"sle_srtm_topo_100m.png","continent":"Africa","country":"Sierra Leone","resolution":"100","type":"Covariates","file_html":""},{"id":"23468","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 elevation above the sea level (in meters).Filenames<\/b>: Example - som_srtm_topo_100m.tif represents SRTM elevation 2000 in SomaliaData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"som_srtm_topo_100m.png","continent":"Africa","country":"Somalia","resolution":"100","type":"Covariates","file_html":""},{"id":"23469","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 elevation above the sea level (in meters).Filenames<\/b>: Example - zaf_srtm_topo_100m.tif represents SRTM elevation 2000 in South AfricaData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"zaf_srtm_topo_100m.png","continent":"Africa","country":"South Africa","resolution":"100","type":"Covariates","file_html":""},{"id":"23472","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 elevation above the sea level (in meters).Filenames<\/b>: Example - ssd_srtm_topo_100m.tif represents SRTM elevation 2000 in South SudanData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)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 (https:\/\/doi.org\/10.1080\/20964471.2019.1625151<\/a>).","doi":"10.5258\/SOTON\/WP00644","popyear":"2000","date":"2018-11-02","file_img":"ssd_srtm_topo_100m.png","continent":"Africa","country":"South Sudan","resolution":"100","type":"Covariates","file_html":""},{"id":"23473","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 elevation above the sea level (in meters).Filenames<\/b>: Example - sdn_srtm_topo_100m.tif represents SRTM elevation 2000 in SudanData Source<\/b>: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org\/dem3.html<\/a>); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http:\/\/www2.jpl.nasa.gov\/srtm\/<\/a>)