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Unconstrained subnational Population Weighted Density in 2000, 2005, 2010, 2015 and 2020 ( 1km resolution )

Unconstrained subnational Population Weighted Density in 2000, 2005, 2010, 2015 and 2020 ( 1km resolution )
Unconstrained subnational Population Weighted Density in 2000, 2005, 2010, 2015 and 2020 ( 1km resolution )
Unconstrained subnational Population Weighted Density in 2000, 2005, 2010, 2015 and 2020 ( 1km resolution )
Population distribution, Sub-national, Human population, Spatial dataset, Population Weighted Density
University of Southampton
Edwards, Robin
4b8242b2-2067-4e3b-89b9-988d06798df6
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
Edwards, Robin
4b8242b2-2067-4e3b-89b9-988d06798df6
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c

Edwards, Robin, Bondarenko, Maksym, Tatem, Andrew and Sorichetta, Alessandro (2021) Unconstrained subnational Population Weighted Density in 2000, 2005, 2010, 2015 and 2020 ( 1km resolution ). University of Southampton doi:10.5258/SOTON/WP00704 [Dataset]

Record type: Dataset

Abstract

Unconstrained subnational Population Weighted Density in 2000, 2005, 2010, 2015 and 2020 ( 1km resolution )

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More information

Published date: 12 January 2021
Keywords: Population distribution, Sub-national, Human population, Spatial dataset, Population Weighted Density

Identifiers

Local EPrints ID: 446112
URI: http://eprints.soton.ac.uk/id/eprint/446112
PURE UUID: f2134470-7c67-44ee-b9e9-b49454716e1a
ORCID for Maksym Bondarenko: ORCID iD orcid.org/0000-0003-4958-6551
ORCID for Andrew Tatem: ORCID iD orcid.org/0000-0002-7270-941X
ORCID for Alessandro Sorichetta: ORCID iD orcid.org/0000-0002-3576-5826

Catalogue record

Date deposited: 20 Jan 2021 17:32
Last modified: 06 May 2023 01:47

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Contributors

Creator: Robin Edwards
Creator: Andrew Tatem ORCID iD

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