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Census disaggregated gridded population estimates for Niger (2021), version 1.0

Census disaggregated gridded population estimates for Niger (2021), version 1.0
Census disaggregated gridded population estimates for Niger (2021), 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 Foreign, Commonwealth & Development Office (INV 009579, formerly OPP 1182425). Project partners included the United Nations Population Fund, Center for International Earth Science Information Network in the Columbia Climate School at Columbia University, and the Flowminder Foundation. Thomas Abbott (WorldPop) led the input processing and the modelling work following the Random Forest (RF)-based dasymetric mapping approach developed by Stevens et al. (2015). Heather Chamberlain, Sarchil Qader, and Attila N Lazar advised on the modelling procedure. The Institut National de la Statistique du Niger (INS) released the census-based total population projection using the results of the 2012 census of population and digital Commune boundaries. Engagement with INS was lead by Mathias Kuepie (UNFPA). The work was verseen by Attila N. Lazar and Andy J Tatem.
Human population, Sub-national, Spatial dataset
University of Southampton
Abbott, Thomas
6dd117e8-cac5-4862-a3fd-ddbf1cbe94bb
Chamberlain, Heather
cb939de7-ac47-440e-aeb8-a2e36c110785
Qader, Sarchil
b1afb647-aeff-4bb8-84f2-56865c4eb9e4
Kuepie, Mathias
3b76d1de-d5f1-49ce-b851-e28cda22524f
Lazar, Attila
d7f835e7-1e3d-4742-b366-af19cf5fc881
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Abbott, Thomas
6dd117e8-cac5-4862-a3fd-ddbf1cbe94bb
Chamberlain, Heather
cb939de7-ac47-440e-aeb8-a2e36c110785
Qader, Sarchil
b1afb647-aeff-4bb8-84f2-56865c4eb9e4
Kuepie, Mathias
3b76d1de-d5f1-49ce-b851-e28cda22524f
Lazar, Attila
d7f835e7-1e3d-4742-b366-af19cf5fc881
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e

Abbott, Thomas, Chamberlain, Heather, Qader, Sarchil, Kuepie, Mathias, Lazar, Attila and Tatem, Andrew (2022) Census disaggregated gridded population estimates for Niger (2021), version 1.0. University of Southampton doi:10.5258/SOTON/WP00733 [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 Foreign, Commonwealth & Development Office (INV 009579, formerly OPP 1182425). Project partners included the United Nations Population Fund, Center for International Earth Science Information Network in the Columbia Climate School at Columbia University, and the Flowminder Foundation. Thomas Abbott (WorldPop) led the input processing and the modelling work following the Random Forest (RF)-based dasymetric mapping approach developed by Stevens et al. (2015). Heather Chamberlain, Sarchil Qader, and Attila N Lazar advised on the modelling procedure. The Institut National de la Statistique du Niger (INS) released the census-based total population projection using the results of the 2012 census of population and digital Commune boundaries. Engagement with INS was lead by Mathias Kuepie (UNFPA). The work was verseen by Attila N. Lazar and Andy J Tatem.

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More information

Published date: 7 February 2022
Keywords: Human population, Sub-national, Spatial dataset

Identifiers

Local EPrints ID: 454537
URI: http://eprints.soton.ac.uk/id/eprint/454537
PURE UUID: 27eab7df-e14f-45cb-9e6f-55f7c5e9d5bc
ORCID for Heather Chamberlain: ORCID iD orcid.org/0000-0003-0828-6974
ORCID for Attila Lazar: ORCID iD orcid.org/0000-0003-2033-2013
ORCID for Andrew Tatem: ORCID iD orcid.org/0000-0002-7270-941X

Catalogue record

Date deposited: 15 Feb 2022 17:43
Last modified: 16 Feb 2022 02:41

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Contributors

Creator: Thomas Abbott
Creator: Sarchil Qader
Creator: Mathias Kuepie
Creator: Attila Lazar ORCID iD
Creator: Andrew Tatem ORCID iD

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