![]() ![]() Tatem, 2015, High-resolution gridded population datasets for Latin America and the Caribbean in 2010, 2015, and 2020, Scientific Data, doi:10.1038/sdata.2015.45Īfrica population count data: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. The methods used are designed with full open access and operational application in mind, using transparent, fully documented and peer-reviewed methods to produce easily updatable maps with accompanying metadata and measures of uncertainty.įor all WorldPop datasets, please cite the WorldPop website as the source: Additionally, the following academic publications should be cited for the specific datasets listed:Īmericas population data: Alessandro Sorichetta, Graeme M. It aims to provide an open access archive of spatial demographic datasets for Central and South America, Africa and Asia to support development, disaster response and health applications. The WorldPop project was initiated in October 2013 to combine the AfriPop, AsiaPop and AmeriPop population mapping projects. The mapping approach is Random Forest-based dasymetric redistribution. The units are number of people per Km² per pixel, expressed as unit: "ppl/Km²". ![]() Estimated density of people per grid-cell, approximately 1km (0.008333 degrees) resolution. ![]()
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