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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
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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.

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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: https://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

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Date deposited: 17 May 2019 16:30
Last modified: 10 Dec 2019 01:37

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Contributors

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

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