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High resolution global gridded data for use in population studies.

Christopher T Lloyd1, Alessandro Sorichetta1,2, Andrew J Tatem1,2

  • 1WorldPop, Geography and Environment, University of Southampton, Highfield Campus, Southampton SO17 1BJ, UK.

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|February 1, 2017
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Summary
This summary is machine-generated.

The WorldPop Project created an open-access archive of global population data. This harmonized geospatial data enables accurate mapping for monitoring population changes and planning interventions.

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Area of Science:

  • Geospatial science
  • Population studies
  • Environmental science

Background:

  • Growing availability of satellite and geospatial data layers for human population mapping.
  • Need for harmonized data layers to create detailed, contemporary spatial population datasets.
  • Importance of accurate population distribution data for measuring growth impacts, monitoring change, and planning interventions.

Purpose of the Study:

  • To produce an open-access archive of harmonized geospatial data for global human population mapping.
  • To describe the datasets and production methodology used by the WorldPop Project.
  • To facilitate the creation of detailed and contemporary spatial population datasets.

Main Methods:

  • Harmonization of diverse geospatial data layers.
  • Creation of tiled raster datasets at 3 and 30 arc-second resolution.
  • Inclusion of topography, country identification, area, slope, transport networks, landcover, nightlights, precipitation, travel time, and waterways.

Main Results:

  • Development of an open-access archive of gridded population data by the WorldPop Project.
  • Provision of foundational raster datasets including topography, country identification, area, and slope.
  • Inclusion of supplementary layers such as transport networks and environmental variables.

Conclusions:

  • The WorldPop archive provides essential, harmonized geospatial data for global population mapping.
  • The described methodology ensures the creation of accurate and contemporary population distribution datasets.
  • The archive is accessible for download, supporting research and planning worldwide.