Geospatial covariate data layers |
The dataset is available to download in Geotiff format at a resolution 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: Example - arm_srtm_slope_100m.tif represents SRTM-based slope in Armenia
Data Source: de Ferranti, J., 2017. 'Digital Elevation Data'. Viewfinder Panoramas (www.viewfinderPanoramas.org/dem3.html); based on NASA's Shuttle Radar Topography Mission (SRTM) data (http://www2.jpl.nasa.gov/srtm/)
Methodology: Methodology: Lloyd, C. T., H. Chamberlain, D. Kerr, G. Yetman, L. Pistolesi, F. R. Stevens, A. E. Gaughan, J. J. Nieves, G. Hornby, K. MacManus, P. Sinha, M. 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).
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00644