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Estimates of total number of people per grid square, adjusted to match the corresponding UNPD 2020 estimates and broken down by gender and age groupings, produced using Ecopia.AI and Maxar Technologies building footprints.

Estimates of total number of people per grid square, adjusted to match the corresponding UNPD 2020 estimates and broken down by gender and age groupings, produced using Ecopia.AI and Maxar Technologies building footprints.
Estimates of total number of people per grid square, adjusted to match the corresponding UNPD 2020 estimates and broken down by gender and age groupings, produced using Ecopia.AI and Maxar Technologies building footprints.
Estimates of total number of people per grid square, adjusted to match the corresponding UNPD 2020 estimates and broken down by gender and age groupings, produced using Ecopia.AI and Maxar Technologies building footprints.
Population distribution, Sub-national, Dasymetric disaggregation, Disease burden, GIS
University of Southampton
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
Kerr, David
0cb7f738-0bf6-463f-b1f1-b380c6b568b8
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
Kerr, David
0cb7f738-0bf6-463f-b1f1-b380c6b568b8
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8

Bondarenko, Maksym, Kerr, David, Sorichetta, Alessandro, Tatem, Andrew and WorldPop, (2020) Estimates of total number of people per grid square, adjusted to match the corresponding UNPD 2020 estimates and broken down by gender and age groupings, produced using Ecopia.AI and Maxar Technologies building footprints. University of Southampton doi:10.5258/SOTON/WP00699 [Dataset]

Record type: Dataset

Abstract

Estimates of total number of people per grid square, adjusted to match the corresponding UNPD 2020 estimates and broken down by gender and age groupings, produced using Ecopia.AI and Maxar Technologies building footprints.

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More information

Published date: 30 November 2020
Related URLs:
Keywords: Population distribution, Sub-national, Dasymetric disaggregation, Disease burden, GIS
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Identifiers

Local EPrints ID: 445319
URI: http://eprints.soton.ac.uk/id/eprint/445319
DOI: doi:10.5258/SOTON/WP00699
PURE UUID: 06a556d3-d7f5-45f5-b244-6f03e712bb95
ORCID for Maksym Bondarenko: ORCID iD orcid.org/0000-0003-4958-6551
ORCID for Alessandro Sorichetta: ORCID iD orcid.org/0000-0002-3576-5826
ORCID for Andrew Tatem: ORCID iD orcid.org/0000-0002-7270-941X

Catalogue record

Date deposited: 02 Dec 2020 17:32
Last modified: 15 Dec 2021 02:44

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Contributors

Creator: Maksym Bondarenko ORCID iD
Creator: David Kerr
Creator: Alessandro Sorichetta ORCID iD
Creator: Andrew Tatem ORCID iD
Creator: WorldPop

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