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Census disaggregated gridded population estimates for Senegal (2020), version 1.0

Census disaggregated gridded population estimates for Senegal (2020), version 1.0
Census disaggregated gridded population estimates for Senegal (2020), 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 Earth Institute at Columbia University, and the Flowminder Foundation. Sarchil Qader (WorldPop) led the input processing and the modelling work following the Random Forest (RF)-based dasymetric mapping approach developed by Stevens et al. (2015). Thomas Abbott supported the covariates processing work and Chris Jochem advised on the modelling. The National Agency for Statistics and Demography (ANSD) of Senegal released the updated yearly census-based total population projection and population projection by sex (female and male) using the results of the 2013 census of population (population projection). In addition, the digital Commune boundaries and infrastructure points were shared by ANSD.
population, Dataset
University of Southampton
Qader, Sarchil
b1afb647-aeff-4bb8-84f2-56865c4eb9e4
Abbott, Thomas
6dd117e8-cac5-4862-a3fd-ddbf1cbe94bb
Boytinck, Emily
15c14fcb-8aed-4af3-9028-caf928f2081e
Kuepie, Mathias
99df5314-7773-44c8-a7ed-741d730860c6
Lazar, Attila
d7f835e7-1e3d-4742-b366-af19cf5fc881
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Qader, Sarchil
b1afb647-aeff-4bb8-84f2-56865c4eb9e4
Abbott, Thomas
6dd117e8-cac5-4862-a3fd-ddbf1cbe94bb
Boytinck, Emily
15c14fcb-8aed-4af3-9028-caf928f2081e
Kuepie, Mathias
99df5314-7773-44c8-a7ed-741d730860c6
Lazar, Attila
d7f835e7-1e3d-4742-b366-af19cf5fc881
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e

Qader, Sarchil, Abbott, Thomas, Boytinck, Emily, Kuepie, Mathias, Lazar, Attila and Tatem, Andrew (2022) Census disaggregated gridded population estimates for Senegal (2020), version 1.0. University of Southampton doi:10.5258/SOTON/WP00730 [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 Earth Institute at Columbia University, and the Flowminder Foundation. Sarchil Qader (WorldPop) led the input processing and the modelling work following the Random Forest (RF)-based dasymetric mapping approach developed by Stevens et al. (2015). Thomas Abbott supported the covariates processing work and Chris Jochem advised on the modelling. The National Agency for Statistics and Demography (ANSD) of Senegal released the updated yearly census-based total population projection and population projection by sex (female and male) using the results of the 2013 census of population (population projection). In addition, the digital Commune boundaries and infrastructure points were shared by ANSD.

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More information

Published date: 12 January 2022
Keywords: population, Dataset

Identifiers

Local EPrints ID: 453518
URI: http://eprints.soton.ac.uk/id/eprint/453518
PURE UUID: c76ee405-59ac-4524-b3b8-48bc08c58982
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: 18 Jan 2022 18:08
Last modified: 06 May 2023 01:48

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Contributors

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

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