The University of Southampton
×
Filter your search:
University of Southampton Institutional Repository

Global 100m Population total adjusted to match the corresponding UNPD estimate

Global 100m Population total adjusted to match the corresponding UNPD estimate
Global 100m Population total adjusted to match the corresponding UNPD estimate
RF-based gridded population distribution datasets produced in the framework of the Global Project adjusted to match UNPD totals (from the 2019 Revision of World Population Prospects)
Population distribution, Dasymetric disaggregation, GIS, Population
University of Southampton
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226

WorldPop, (2020) Global 100m Population total adjusted to match the corresponding UNPD estimate. University of Southampton doi:10.5258/SOTON/WP00660 [Dataset]

Record type: Dataset

Abstract

RF-based gridded population distribution datasets produced in the framework of the Global Project adjusted to match UNPD totals (from the 2019 Revision of World Population Prospects)

This record has no associated files available for download.

More information

Published date: 31 January 2020
Related URLs:
Keywords: Population distribution, Dasymetric disaggregation, GIS, Population

Identifiers

Local EPrints ID: 439188
URI: http://eprints.soton.ac.uk/id/eprint/439188
DOI: doi:10.5258/SOTON/WP00660
PURE UUID: 31774059-d5e3-407a-b9fa-5efd43143713
ORCID for Maksym Bondarenko: ORCID iD orcid.org/0000-0003-4958-6551

Catalogue record

Date deposited: 06 Apr 2020 16:35
Last modified: 06 May 2023 01:43

Export record

Altmetrics

Contributors

Creator: WorldPop
Data Manager: Maksym Bondarenko ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Library staff additional information
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×