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High resolution global gridded data for use in population studies

High resolution global gridded data for use in population studies
High resolution global gridded data for use in population studies
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
1-17
Lloyd, Christopher T.
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Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Lloyd, Christopher T.
de6d850d-fba9-4f7e-9340-8ba750bfd9a6
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e

Lloyd, Christopher T., Sorichetta, Alessandro and Tatem, Andrew (2017) High resolution global gridded data for use in population studies. Scientific Data, 4 (170001), 1-17. (doi:10.1038/sdata.2017.1).

Record type: Article

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

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More information

Accepted/In Press date: 6 January 2017
e-pub ahead of print date: 31 January 2017
Published date: 31 January 2017
Additional Information: Associated publication: Lloyd, C. (2017). High resolution global gridded data for use in population studies. 117. Paper presented at FOSS4G-Europe 2017, Paris, France.
Organisations: Global Env Change & Earth Observation, WorldPop, Population, Health & Wellbeing (PHeW)

Identifiers

Local EPrints ID: 405347
URI: http://eprints.soton.ac.uk/id/eprint/405347
PURE UUID: 4ded5b65-4b5d-4948-96e4-becd0fb522c9
ORCID for Christopher T. Lloyd: ORCID iD orcid.org/0000-0001-7435-8230
ORCID for Alessandro Sorichetta: ORCID iD orcid.org/0000-0002-3576-5826
ORCID for Andrew Tatem: ORCID iD orcid.org/0000-0002-7270-941X

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Date deposited: 02 Feb 2017 13:29
Last modified: 16 Mar 2024 04:22

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