title: High resolution global gridded data for use in population studies.
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.
authors.affiliation: WorldPop, Geography and Environment, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK.
authors.forename: Christopher T
authors.identifier: 0000-0001-7435-8230
authors.initials: CT
authors.lastname: Lloyd
authors.affiliation: WorldPop, Geography and Environment, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK.|Flowminder Foundation, Roslagsgatan 17, Stockholm SE-11355, Sweden.
authors.forename: Alessandro
authors.initials: A
authors.lastname: Sorichetta
authors.affiliation: WorldPop, Geography and Environment, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK.|Flowminder Foundation, Roslagsgatan 17, Stockholm SE-11355, Sweden.
authors.forename: Andrew J
authors.initials: AJ
authors.lastname: Tatem
mesh_terms: D016208:Databases, Factual; D066264:Datasets as Topic; D006801:Humans; D011157:Population Dynamics