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

• Published in: PloS one Vol. 8; no. 2; p. e55882
• Main Authors: Gaughan, Andrea E, Stevens, Forrest R, Linard, Catherine, Jia, Peng, Tatem, Andrew J
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 13.02.2013; Public Library of Science (PLoS)
• Subjects: Accuracy; Asia, Southeastern; Biology; Cartography; Census; Censuses; Climate change; Computer Science; Databases, Factual; Datasets; Demography; Earth Sciences; Geographic information systems; Geography; Human populations; Humans; Land cover; Land use; Landsat; Landsat satellites; Malaria; Mapping; Maps as Topic; Measuring instruments; Models, Theoretical; Pathogens; Plasmodium falciparum; Population; Population Density; Population distribution; Population growth; Remote sensing; Rural areas; Social and Behavioral Sciences; Spatial data; Spatial resolution; Urban areas; Urbanization; Asia, Southeastern; Southeast Asia; Florida; United States > US; Maryland
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0055882

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.