Year: 2017
Type: data-paper
Abstract: Recent years have seen substantial growth in openly available satellite and other geospatial data layers, which represent a range of metrics relevant to global human population mapping at fine spatial scales. The specifications of such data differ widely and therefore the harmonisation of data layers is a prerequisite to constructing detailed and contemporary spatial datasets which accurately describe population distributions. Such datasets are vital to measure impacts of population growth, monitor change, and plan interventions. To this end the WorldPop Project has produced an open access archive of 3 and 30 arc-second resolution gridded data. Four tiled raster datasets form the basis of the archive: (i) Viewfinder Panoramas topography clipped to Global ADMinistrative area (GADM) coastlines; (ii) a matching ISO 3166 country identification grid; (iii) country area; (iv) and slope layer. Further layers include transport networks, landcover, nightlights, precipitation, travel time to major cities, and waterways. Datasets and production methodology are here described. The archive can be downloaded both from the WorldPop Dataverse Repository and the WorldPop Project website.
Source: Scientific Data
DOI: 10.1038/sdata.2017.1
Institutions: University of Southampton, Flowminder Foundation
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,363
Awards: G197826092, G3086775915, Seasonal drivers of human movement and aggregation in a changing climate: consequences for infectious disease dynamics and control, G49699897, G5312491478, G5312694386, The University of Southampton - to construct high resolution spatial estimates of demographic characteristics and mobility patterns of populations in resource poor settings, G6112810876, G6868616705, Seasonal drivers of human movement and aggregation in a changing climate: consequences for infectious disease dynamics and control, G7688557287, G7957349885, G8205276004, Program for Resistance, Immunology, Surveillance & Modeling of Malaria in Uganda (PRISM) Renewal
OpenAlex ID: W2580095392