High resolution, contemporary data on human population distributions, their characteristics and changes over time are a prerequisite for the accurate measurement of the impacts of population growth, for monitoring changes and for planning interventions. WorldPop aims to meet these needs through the provision of detailed and open access spatial demographic datasets built using transparent approaches. The Scientific Data WorldPop collection brings together descriptor papers on these datasets and is introduced here.
How to cite this article: Tatem, A. J. WorldPop, open data for spatial demography. Sci. Data 4:170004 doi: 10.1038/sdata.2017.4 (2017).
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A.J.T. is supported by funding from NIH/NIAID (U19AI089674), the Bill & Melinda Gates Foundation (OPP1106427, 1032350, OPP1134076, OPP1094793), the Clinton Health Access Initiative and the Wellcome Trust (106866/Z/15/Z). This work forms part of the output of WorldPop (www.worldpop.org) and the Flowminder Foundation (www.flowminder.org).
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Nature Geoscience (2018)