High Resolution Population Distribution Maps for Southeast Asia in 2010 and 2015
Top Cited Papers
Open Access
- 13 February 2013
- journal article
- research article
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 8 (2), e55882
- https://doi.org/10.1371/journal.pone.0055882
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.Keywords
This publication has 31 references indexed in Scilit:
- Mapping populations at risk: improving spatial demographic data for infectious disease modeling and metric derivationPopulation Health Metrics, 2012
- Large-scale spatial population databases in infectious disease researchInternational Journal of Health Geographics, 2012
- A new world malaria map: Plasmodium falciparum endemicity in 2010Malaria Journal, 2011
- Assessing the use of global land cover data for guiding large area population distribution modellingGeoJournal, 2010
- Enhancing spatial detection accuracy for syndromic surveillance with street level incidence dataInternational Journal of Health Geographics, 2010
- A high resolution spatial population database of Somalia for disease risk mappingInternational Journal of Health Geographics, 2010
- Human population, urban settlement patterns and their impact on Plasmodium falciparum malaria endemicityMalaria Journal, 2008
- High Resolution Population Maps for Low Income Nations: Combining Land Cover and Census in East AfricaPLOS ONE, 2007
- World Map of the Köppen-Geiger climate classification updatedMeteorologische Zeitschrift, 2006
- Determining Global Population Distribution: Methods, Applications and DataAdvances In Parasitology, Vol 64, 2006