[{"id":"23027","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - dza_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Algeria","resolution":"100","type":"Covariates","file_html":""},{"id":"23030","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - ago_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Angola","resolution":"100","type":"Covariates","file_html":""},{"id":"23075","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - ben_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Benin","resolution":"100","type":"Covariates","file_html":""},{"id":"23045","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - bwa_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Botswana","resolution":"100","type":"Covariates","file_html":""},{"id":"23253","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - bfa_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Burkina Faso","resolution":"100","type":"Covariates","file_html":""},{"id":"23054","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - bdi_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Burundi","resolution":"100","type":"Covariates","file_html":""},{"id":"23057","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - cmr_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Cameroon","resolution":"100","type":"Covariates","file_html":""},{"id":"23058","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - cpv_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Cape Verde","resolution":"100","type":"Covariates","file_html":""},{"id":"23060","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - caf_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Central African Republic","resolution":"100","type":"Covariates","file_html":""},{"id":"23062","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - tcd_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Chad","resolution":"100","type":"Covariates","file_html":""},{"id":"23065","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - com_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Comoros","resolution":"100","type":"Covariates","file_html":""},{"id":"23124","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - civ_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Cote d'Ivoire","resolution":"100","type":"Covariates","file_html":""},{"id":"23095","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - dji_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Djibouti","resolution":"100","type":"Covariates","file_html":""},{"id":"23068","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - cod_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"DRC","resolution":"100","type":"Covariates","file_html":""},{"id":"23247","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - egy_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Egypt","resolution":"100","type":"Covariates","file_html":""},{"id":"23081","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - gnq_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Equatorial Guinea","resolution":"100","type":"Covariates","file_html":""},{"id":"23083","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - eri_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Eritrea","resolution":"100","type":"Covariates","file_html":""},{"id":"23228","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - swz_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Eswatini","resolution":"100","type":"Covariates","file_html":""},{"id":"23082","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - eth_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Ethiopia","resolution":"100","type":"Covariates","file_html":""},{"id":"23096","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - gab_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Gabon","resolution":"100","type":"Covariates","file_html":""},{"id":"23098","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - gmb_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Gambia","resolution":"100","type":"Covariates","file_html":""},{"id":"23101","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - gha_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Ghana","resolution":"100","type":"Covariates","file_html":""},{"id":"23109","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - gin_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Guinea","resolution":"100","type":"Covariates","file_html":""},{"id":"23193","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - gnb_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Guinea-Bissau","resolution":"100","type":"Covariates","file_html":""},{"id":"23129","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - ken_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Kenya","resolution":"100","type":"Covariates","file_html":""},{"id":"23136","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - lso_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Lesotho","resolution":"100","type":"Covariates","file_html":""},{"id":"23138","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - lbr_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Liberia","resolution":"100","type":"Covariates","file_html":""},{"id":"23139","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - lby_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Libya","resolution":"100","type":"Covariates","file_html":""},{"id":"23144","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - mdg_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Madagascar","resolution":"100","type":"Covariates","file_html":""},{"id":"23145","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - mwi_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Malawi","resolution":"100","type":"Covariates","file_html":""},{"id":"23148","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - mli_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Mali","resolution":"100","type":"Covariates","file_html":""},{"id":"23151","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - mrt_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Mauritania","resolution":"100","type":"Covariates","file_html":""},{"id":"23152","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - mus_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Mauritius","resolution":"100","type":"Covariates","file_html":""},{"id":"23066","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - myt_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Mayotte","resolution":"100","type":"Covariates","file_html":""},{"id":"23159","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - mar_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Morocco","resolution":"100","type":"Covariates","file_html":""},{"id":"23160","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - moz_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Mozambique","resolution":"100","type":"Covariates","file_html":""},{"id":"23162","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - nam_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Namibia","resolution":"100","type":"Covariates","file_html":""},{"id":"23174","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - ner_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Niger","resolution":"100","type":"Covariates","file_html":""},{"id":"23175","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - nga_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Nigeria","resolution":"100","type":"Covariates","file_html":""},{"id":"23067","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - cog_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Rep. Congo","resolution":"100","type":"Covariates","file_html":""},{"id":"23197","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - reu_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"R\u00e9union","resolution":"100","type":"Covariates","file_html":""},{"id":"23199","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - rwa_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Rwanda","resolution":"100","type":"Covariates","file_html":""},{"id":"23201","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - shn_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Saint Helena, Ascension and Tristan da Cunha","resolution":"100","type":"Covariates","file_html":""},{"id":"23209","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - stp_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Sao Tome and Principe","resolution":"100","type":"Covariates","file_html":""},{"id":"23211","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - sen_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Senegal","resolution":"100","type":"Covariates","file_html":""},{"id":"23213","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - syc_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Seychelles","resolution":"100","type":"Covariates","file_html":""},{"id":"23214","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - sle_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Sierra Leone","resolution":"100","type":"Covariates","file_html":""},{"id":"23219","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - som_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"Somalia","resolution":"100","type":"Covariates","file_html":""},{"id":"23220","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - zaf_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"South Africa","resolution":"100","type":"Covariates","file_html":""},{"id":"23223","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - ssd_srtm_slope_100m.tif represents SRTM-based slope 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_slope_100m.png","continent":"Africa","country":"South Sudan","resolution":"100","type":"Covariates","file_html":""},{"id":"23224","desc":"The dataset is available to download in Geotiff format at a resolution of 3 arc-second (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The value of each grid cell represents its topographic slope (in degree). The value of each grid cell represents its topographic slope (in degree).Filenames<\/b>: Example - sdn_srtm_slope_100m.tif represents SRTM-based slope 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>)