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High resolution population distribution maps for Southeast Asia in 2010 and 2015

High resolution population distribution maps for Southeast Asia in 2010 and 2015
High resolution population distribution maps for Southeast Asia in 2010 and 2015
Spatially accurate, contemporary data on human population distributions are vitally important to many applied and theoretical researchers. The Southeast Asia region has undergone rapid urbanization and population growth over the past decade, yet existing spatial population distribution datasets covering the region are based principally on population count data from censuses circa 2000, with often insufficient spatial resolution or input data to map settlements precisely. Here we outline approaches to construct a database of GIS-linked circa 2010 census data and methods used to construct fine-scale (?100 meters spatial resolution) population distribution datasets for each country in the Southeast Asia region. Landsat-derived settlement maps and land cover information were combined with ancillary datasets on infrastructure to model population distributions for 2010 and 2015. These products were compared with those from two other methods used to construct commonly used global population datasets. Results indicate mapping accuracies are consistently higher when incorporating land cover and settlement information into the AsiaPop modelling process. Using existing data, it is possible to produce detailed, contemporary and easily updatable population distribution datasets for Southeast Asia. The 2010 and 2015 datasets produced are freely available as a product of the AsiaPop Project and can be downloaded from: www.asiapop.org.
1932-6203
e55882
Gaughan, Andrea E.
395221c6-1091-4657-af7e-bd6cb93dbaf9
Stevens, Forrest R.
7c96c2ef-edac-41a1-be26-c4bc5b3256a6
Linard, Catherine
231a1de7-72c2-4dc1-bc4e-ea30ed444856
Jia, Peng
dbe85528-4e0b-47c5-aa2e-189cda38d131
Tatem, Andrew J.
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Gaughan, Andrea E.
395221c6-1091-4657-af7e-bd6cb93dbaf9
Stevens, Forrest R.
7c96c2ef-edac-41a1-be26-c4bc5b3256a6
Linard, Catherine
231a1de7-72c2-4dc1-bc4e-ea30ed444856
Jia, Peng
dbe85528-4e0b-47c5-aa2e-189cda38d131
Tatem, Andrew J.
6c6de104-a5f9-46e0-bb93-a1a7c980513e

Gaughan, Andrea E., Stevens, Forrest R., Linard, Catherine, Jia, Peng and Tatem, Andrew J. (2013) High resolution population distribution maps for Southeast Asia in 2010 and 2015. PLoS ONE, 8 (2), e55882. (doi:10.1371/journal.pone.0055882). (PMID:23418469)

Record type: Article

Abstract

Spatially accurate, contemporary data on human population distributions are vitally important to many applied and theoretical researchers. The Southeast Asia region has undergone rapid urbanization and population growth over the past decade, yet existing spatial population distribution datasets covering the region are based principally on population count data from censuses circa 2000, with often insufficient spatial resolution or input data to map settlements precisely. Here we outline approaches to construct a database of GIS-linked circa 2010 census data and methods used to construct fine-scale (?100 meters spatial resolution) population distribution datasets for each country in the Southeast Asia region. Landsat-derived settlement maps and land cover information were combined with ancillary datasets on infrastructure to model population distributions for 2010 and 2015. These products were compared with those from two other methods used to construct commonly used global population datasets. Results indicate mapping accuracies are consistently higher when incorporating land cover and settlement information into the AsiaPop modelling process. Using existing data, it is possible to produce detailed, contemporary and easily updatable population distribution datasets for Southeast Asia. The 2010 and 2015 datasets produced are freely available as a product of the AsiaPop Project and can be downloaded from: www.asiapop.org.

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Published date: 2013
Organisations: WorldPop, Geography & Environment, PHEW – S (Spatial analysis and modelling), Population, Health & Wellbeing (PHeW)

Identifiers

Local EPrints ID: 349029
URI: https://eprints.soton.ac.uk/id/eprint/349029
ISSN: 1932-6203
PURE UUID: 04b7b717-b37b-49d5-9938-875f8227c276
ORCID for Andrew J. Tatem: ORCID iD orcid.org/0000-0002-7270-941X

Catalogue record

Date deposited: 22 Feb 2013 14:25
Last modified: 06 Jun 2018 12:28

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Contributors

Author: Andrea E. Gaughan
Author: Forrest R. Stevens
Author: Catherine Linard
Author: Peng Jia
Author: Andrew J. Tatem ORCID iD

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