WorldPop, open data for spatial demography

By Andrew J. Tatem. Scientific Data, 2017

971 citations recorded by the source corpus.

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.

Subfields: Global and Planetary Change, Transportation

View Paper: https://www.semanticscholar.org/paper/18f81baa477f208ba494317a7d8bb929af90a564

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. Andrew J. Tatem
2. Todd M. Bacastow
3. Adam Van Etten
4. David Lindenbaum
5. Mark D. Partridge

In Transportation

1. Andrew J. Tatem
2. Andrea E. Gaughan
3. Forrest R. Stevens
4. Todd M. Bacastow
5. Adam Van Etten
6. David Lindenbaum
7. Mark D. Partridge

Citations in the corpus

• The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use (2019, background): “The WorldPop program produces a variety of demographic gridded data products at the global and country scales (Tatem, 2017), including population counts, within 3 arcsec grid cells (∼ 100 m at the Equator) in the geographic projection WGS84 (Stevens et al., 2015).”
• Economic and Social Development along the Urban-Rural Continuum: New Opportunities to Inform Policy (2021, background): “…initiatives such as OpenStreetMap provide a rich resource of healthcare facility information; and detailed information on population distributions and characteristics contained within national censuses and mapped at high-spatial resolutions by initiatives such as the WorldPop project (Tatem, 2017).”
• SpaceNet: A Remote Sensing Dataset and Challenge Series (2018, background): “useful proxy for population density [2], [3], [4].”