Description of methods for South Sudan 2020 gridded population estimates from census projections adjusted for displacement, version 2.0.
Description of methods for South Sudan 2020 gridded population estimates from census projections adjusted for displacement, version 2.0.
This report describes the method used to produce gridded estimates of population sizes, that account for displacement, at approximately 100 m resolution with national coverage across South Sudan. The method uses publicly available census projections from the South Sudan National Bureau of Statistics and displacement data from the International Organisation for Migration (IOM) and the United Nations Refugee Agency (UNHCR), as well as building footprints from Maxar/Ecopia that were derived from recent satellite imagery.
Human population, population displacement, human geography, sub-national, spatial dataset
University of Southampton
Dooley, Claire
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Jochem, Warren
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Sorichetta, Alessandro
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Lazar, Attila
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Tatem, Andrew
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Bondarenko, Maksym
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Dooley, Claire
8caf4d90-5b57-4f92-a6e6-ff2399114af1
Jochem, Warren
ef65df67-4364-4438-92e9-f93ceedb8da1
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
Lazar, Attila
d7f835e7-1e3d-4742-b366-af19cf5fc881
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
Dooley, Claire, Jochem, Warren, Sorichetta, Alessandro, Lazar, Attila and Tatem, Andrew
(2021)
Description of methods for South Sudan 2020 gridded population estimates from census projections adjusted for displacement, version 2.0.
University of Southampton
doi:10.5258/SOTON/WP00710
[Dataset]
Abstract
This report describes the method used to produce gridded estimates of population sizes, that account for displacement, at approximately 100 m resolution with national coverage across South Sudan. The method uses publicly available census projections from the South Sudan National Bureau of Statistics and displacement data from the International Organisation for Migration (IOM) and the United Nations Refugee Agency (UNHCR), as well as building footprints from Maxar/Ecopia that were derived from recent satellite imagery.
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Published date: 29 March 2021
Keywords:
Human population, population displacement, human geography, sub-national, spatial dataset
Identifiers
Local EPrints ID: 448060
URI: http://eprints.soton.ac.uk/id/eprint/448060
PURE UUID: 24008920-969c-4e62-b8af-226ef1be7f37
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Date deposited: 01 Apr 2021 15:40
Last modified: 06 May 2023 01:51
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Creator:
Claire Dooley
Creator:
Warren Jochem
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