High resolution global gridded data for use in population studies
High resolution global gridded data for use in population studies
Open access geospatial data represent a range of metrics relevant to global human population mapping at fine spatial scales. Detailed and contemporary spatial datasets that accurately describe population distributions are vital in order to measure impacts of population growth, monitor change, and plan interventions. To construct such datasets the harmonisation of geospatial data layers is a prerequisite because layer specifications differ widely.
To this end the WorldPop Project is producing an open access archive of 3 and 30 arc-second (~100m and ~1km, respectively) resolution gridded data in a predominantly open source environment, using OSGEO4W utilities. Five tiled raster datasets form the basis of the archive: (i) Viewfinder Panoramas topography clipped to CIESIN national level administrative coastlines; (ii) a matching ISO 3166 country identification grid; (iii) country area; (iv) pixel area; (v) and slope layer. Further layers will include transport networks, landcover, urban extent, nightlights, climate, travel time to major cities, forest stand change, livestock densities, vegetation indices, and waterways. We here describe the base datasets and the production methodology in development. The alpha version of the archive can be downloaded both from the WorldPop Dataverse Repository and the WorldPop Project website. The improved and expanded
beta version of the archive is in development for release next year, and will offer significantly improved standardisation of country boundaries, and inland water boundaries (forthcoming), to global census unit data.
WorldPop, human population, open access archive, high resolution, global, spatial dataset
117-120
International Society for Photogrammetry and Remote Sensing
Lloyd, Christopher T.
de6d850d-fba9-4f7e-9340-8ba750bfd9a6
Lloyd, Christopher T.
de6d850d-fba9-4f7e-9340-8ba750bfd9a6
Lloyd, Christopher T.
(2017)
High resolution global gridded data for use in population studies.
In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
vol. XLII-4/W2,
International Society for Photogrammetry and Remote Sensing.
.
(doi:10.5194/isprs-archives-XLII-4-W2-117-2017).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Open access geospatial data represent a range of metrics relevant to global human population mapping at fine spatial scales. Detailed and contemporary spatial datasets that accurately describe population distributions are vital in order to measure impacts of population growth, monitor change, and plan interventions. To construct such datasets the harmonisation of geospatial data layers is a prerequisite because layer specifications differ widely.
To this end the WorldPop Project is producing an open access archive of 3 and 30 arc-second (~100m and ~1km, respectively) resolution gridded data in a predominantly open source environment, using OSGEO4W utilities. Five tiled raster datasets form the basis of the archive: (i) Viewfinder Panoramas topography clipped to CIESIN national level administrative coastlines; (ii) a matching ISO 3166 country identification grid; (iii) country area; (iv) pixel area; (v) and slope layer. Further layers will include transport networks, landcover, urban extent, nightlights, climate, travel time to major cities, forest stand change, livestock densities, vegetation indices, and waterways. We here describe the base datasets and the production methodology in development. The alpha version of the archive can be downloaded both from the WorldPop Dataverse Repository and the WorldPop Project website. The improved and expanded
beta version of the archive is in development for release next year, and will offer significantly improved standardisation of country boundaries, and inland water boundaries (forthcoming), to global census unit data.
Text
isprs-archives-XLII-4-W2-117-2017 (1)
- Version of Record
More information
Accepted/In Press date: 2 May 2017
e-pub ahead of print date: 5 July 2017
Additional Information:
Associated publication:
Lloyd, C. T., Sorichetta, A., & Tatem, A. (2017). High resolution global gridded data for use in population studies. Scientific Data, 4(170001), 1-17. DOI: 10.1038/sdata.2017.1
Venue - Dates:
FOSS4G-Europe 2017: ISPRS WG IV/4, École Nationale des Sciences Géographiques (ENSG), MARNE-LA-VALLÉE, Paris, France, 2017-07-18 - 2017-07-22
Keywords:
WorldPop, human population, open access archive, high resolution, global, spatial dataset
Identifiers
Local EPrints ID: 413044
URI: http://eprints.soton.ac.uk/id/eprint/413044
PURE UUID: 158d81ef-be65-4d20-b316-815fe3227f18
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Date deposited: 14 Aug 2017 16:30
Last modified: 16 Mar 2024 04:22
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