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Bottom-up gridded population estimates for the Kinshasa, Kongo-Central, Kwango, Kwilu, and Mai-Ndombe provinces in the Democratic Republic of the Congo, version 1.0

Bottom-up gridded population estimates for the Kinshasa, Kongo-Central, Kwango, Kwilu, and Mai-Ndombe provinces in the Democratic Republic of the Congo, version 1.0
Bottom-up gridded population estimates for the Kinshasa, Kongo-Central, Kwango, Kwilu, and Mai-Ndombe provinces in the Democratic Republic of the Congo, version 1.0
These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 project with funding from the Bill and Melinda Gates Foundation and the United Kingdom’s Department for International Development (OPP1182408). Project partners included the United Nations Population Fund, Center for International Earth Science Information Network in the Earth Institute at Columbia University, and the Flowminder Foundation. These data may be distributed using a Creative Commons Attribution Share-Alike 4.0 License. Contact release@worldpop.org for more information.
Population distribution, Bayesian statistics, Spatial dataset, Human population
University of Southampton
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8

WorldPop, (2020) Bottom-up gridded population estimates for the Kinshasa, Kongo-Central, Kwango, Kwilu, and Mai-Ndombe provinces in the Democratic Republic of the Congo, version 1.0. University of Southampton doi:10.5258/SOTON/WP00658 [Dataset]

Record type: Dataset

Abstract

These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 project with funding from the Bill and Melinda Gates Foundation and the United Kingdom’s Department for International Development (OPP1182408). Project partners included the United Nations Population Fund, Center for International Earth Science Information Network in the Earth Institute at Columbia University, and the Flowminder Foundation. These data may be distributed using a Creative Commons Attribution Share-Alike 4.0 License. Contact release@worldpop.org for more information.

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More information

Published date: 13 February 2020
Keywords: Population distribution, Bayesian statistics, Spatial dataset, Human population

Identifiers

Local EPrints ID: 437803
URI: http://eprints.soton.ac.uk/id/eprint/437803
PURE UUID: 4899ab5e-2149-4352-9d07-eaa6d676f122

Catalogue record

Date deposited: 17 Feb 2020 17:32
Last modified: 17 Jun 2020 16:30

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Contributors

Data Manager: Maksym Bondarenko
Creator: WorldPop

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