Bottom-up gridded population estimates for Nigeria, version 1.1
Bottom-up gridded population estimates for Nigeria, version 1.1
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 Nigeria, version 1.1.
University of Southampton
doi:10.5258/SOTON/WP00657
[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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Published date: 4 February 2020
Keywords:
Population distribution, Bayesian statistics, Spatial dataset, Human population
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Local EPrints ID: 437522
URI: http://eprints.soton.ac.uk/id/eprint/437522
PURE UUID: b8df171e-2901-4c03-8b8e-626352a99078
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Date deposited: 04 Feb 2020 17:30
Last modified: 06 May 2023 01:43
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WorldPop
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