The University of Southampton
University of Southampton Institutional Repository

Gridded population maps informed by different built settlement products

Gridded population maps informed by different built settlement products
Gridded population maps informed by different built settlement products
The spatial distribution of humans on the earth is critical knowledge that informs many disciplines and is available in a spatially explicit manner through gridded population techniques. While many approaches exist to produce specialized gridded population maps, little has been done to explore how remotely sensed, built-area datasets might be used to dasymetrically constrain these estimates. This study presents the effectiveness of three different high-resolution built area datasets for producing gridded population estimates through the dasymetric disaggregation of census counts in Haiti, Malawi, Madagascar, Nepal, Rwanda, and Thailand. Modeling techniques include a binary dasymetric redistribution, a random forest with a dasymetric component, and a hybrid of the previous two. The relative merits of these approaches and the data are discussed with regards to studying human populations and related spatially explicit phenomena. Results showed that the accuracy of random forest and hybrid models was comparable in five of six countries.
gridded population distribution, geography, built areas, remote sensing, geographic information systems, random forest, regression, binary dasymetric
2306-5729
Reed, Fennis J.
2730f5da-555e-4b1d-ae00-ae0695ae7148
Gaughan, Andrea E.
395221c6-1091-4657-af7e-bd6cb93dbaf9
Stevens, Forrest R.
7c96c2ef-edac-41a1-be26-c4bc5b3256a6
Yetman, Greg
149630df-4250-4fc4-a4bf-72a7e60da962
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
Tatem, Andrew J.
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Reed, Fennis J.
2730f5da-555e-4b1d-ae00-ae0695ae7148
Gaughan, Andrea E.
395221c6-1091-4657-af7e-bd6cb93dbaf9
Stevens, Forrest R.
7c96c2ef-edac-41a1-be26-c4bc5b3256a6
Yetman, Greg
149630df-4250-4fc4-a4bf-72a7e60da962
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
Tatem, Andrew J.
6c6de104-a5f9-46e0-bb93-a1a7c980513e

Reed, Fennis J., Gaughan, Andrea E., Stevens, Forrest R., Yetman, Greg, Sorichetta, Alessandro and Tatem, Andrew J. (2018) Gridded population maps informed by different built settlement products. Data, 3 (33). (doi:10.3390/data3030033).

Record type: Article

Abstract

The spatial distribution of humans on the earth is critical knowledge that informs many disciplines and is available in a spatially explicit manner through gridded population techniques. While many approaches exist to produce specialized gridded population maps, little has been done to explore how remotely sensed, built-area datasets might be used to dasymetrically constrain these estimates. This study presents the effectiveness of three different high-resolution built area datasets for producing gridded population estimates through the dasymetric disaggregation of census counts in Haiti, Malawi, Madagascar, Nepal, Rwanda, and Thailand. Modeling techniques include a binary dasymetric redistribution, a random forest with a dasymetric component, and a hybrid of the previous two. The relative merits of these approaches and the data are discussed with regards to studying human populations and related spatially explicit phenomena. Results showed that the accuracy of random forest and hybrid models was comparable in five of six countries.

Text
data-03-00033 - Version of Record
Available under License Creative Commons Attribution.
Download (2MB)

More information

Accepted/In Press date: 27 August 2018
e-pub ahead of print date: 4 September 2018
Published date: September 2018
Keywords: gridded population distribution, geography, built areas, remote sensing, geographic information systems, random forest, regression, binary dasymetric

Identifiers

Local EPrints ID: 430889
URI: http://eprints.soton.ac.uk/id/eprint/430889
ISSN: 2306-5729
PURE UUID: 5569935b-1deb-4e13-9e93-93f12bb99889
ORCID for Alessandro Sorichetta: ORCID iD orcid.org/0000-0002-3576-5826
ORCID for Andrew J. Tatem: ORCID iD orcid.org/0000-0002-7270-941X

Catalogue record

Date deposited: 17 May 2019 16:30
Last modified: 16 Mar 2024 04:11

Export record

Altmetrics

Contributors

Author: Fennis J. Reed
Author: Andrea E. Gaughan
Author: Forrest R. Stevens
Author: Greg Yetman
Author: Andrew J. Tatem 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

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.

×