Gridded population estimates for Sudan using UN COD-PS estimates 2022, version 2.0
Gridded population estimates for Sudan using UN COD-PS estimates 2022, version 2.0
These data were produced by WorldPop at the University of Southampton. These data include gridded estimates of population at approximately 100m and 1km for 2022, along with estimates of the number of people belonging to individual age-sex groups. These results were produced using subnational population estimates for Sudan in 2022 provided in the Common Operational Dataset on Population Statistics (COD-PS) and built-up surfaces/volumes covariates extracted from GHSL datasets; GHS-BUILT-Surface epoch 2020 layer, combined with Digitize Africa building footprints, were used to delineate settled areas. The constrained top-down disaggregation method was used to produce the datasets, i.e. population was only estimated within areas classified as containing built settlement. The modelling work and geospatial data processing was led by Bondarenko M. and Leasure D.R.. Oversight was provided by Tatem A.J..
population, demographics, Sudan, raster, disaggregation
University of Southampton
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
Leasure, Douglas
c025de11-3c61-45b0-9b19-68d1d37959cd
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
Leasure, Douglas
c025de11-3c61-45b0-9b19-68d1d37959cd
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Bondarenko, Maksym, Leasure, Douglas and Tatem, Andrew
(2023)
Gridded population estimates for Sudan using UN COD-PS estimates 2022, version 2.0.
University of Southampton
doi:10.5258/SOTON/WP00761
[Dataset]
Abstract
These data were produced by WorldPop at the University of Southampton. These data include gridded estimates of population at approximately 100m and 1km for 2022, along with estimates of the number of people belonging to individual age-sex groups. These results were produced using subnational population estimates for Sudan in 2022 provided in the Common Operational Dataset on Population Statistics (COD-PS) and built-up surfaces/volumes covariates extracted from GHSL datasets; GHS-BUILT-Surface epoch 2020 layer, combined with Digitize Africa building footprints, were used to delineate settled areas. The constrained top-down disaggregation method was used to produce the datasets, i.e. population was only estimated within areas classified as containing built settlement. The modelling work and geospatial data processing was led by Bondarenko M. and Leasure D.R.. Oversight was provided by Tatem A.J..
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Published date: 2 May 2023
Keywords:
population, demographics, Sudan, raster, disaggregation
Identifiers
Local EPrints ID: 476641
URI: http://eprints.soton.ac.uk/id/eprint/476641
PURE UUID: 801f3d81-cda4-49c2-847b-f73042a495e3
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Date deposited: 10 May 2023 17:01
Last modified: 11 May 2023 01:51
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Contributors
Creator:
Douglas Leasure
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