2013
DOI: 10.1371/journal.pone.0055882
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High Resolution Population Distribution Maps for Southeast Asia in 2010 and 2015

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… Show more

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Cited by 255 publications
(222 citation statements)
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“…Second, swidden agriculture will continue to persist in many remote upland areas of SEA in this century although it is in transition. Since the 1990s, increasing regional economic cooperation between/among nations has greatly promoted rapid urbanization and population growth in SEA [150]. Consequently, human activities have altered the land use and land cover types accordingly, such as tropical forest cover rate decline [151].…”
Section: Resultsmentioning
confidence: 99%
“…Second, swidden agriculture will continue to persist in many remote upland areas of SEA in this century although it is in transition. Since the 1990s, increasing regional economic cooperation between/among nations has greatly promoted rapid urbanization and population growth in SEA [150]. Consequently, human activities have altered the land use and land cover types accordingly, such as tropical forest cover rate decline [151].…”
Section: Resultsmentioning
confidence: 99%
“…These detailed population databases have proven crucial for studies reliant on information about human population distributions, typically for calculating populations at risk for human or natural disasters (22-24), to assess vulnerabilities (7, 25), or to derive health and development indicators (3,5,26,27). However, despite improvements, these data still have many limitations.Regardless of how sophisticated these methods are, they remain largely constrained by population count data from censuses that form the basis for the estimation of population distributions across large areas (10)(11)(12)(13)(14)(15)(16)(17). Although the increasing use of global positioning and geographical information system technologies has supported the improved collection of census data and their processing, censuses remain an infrequent and expensive source of detailed population data.…”
mentioning
confidence: 99%
“…In the 1990s, a growing interest in the global mapping of human populations emerged (8,9), leading to the advanced development of methodologies that undertake the spatial downscaling of human population count data from censuses summarized over large and irregular administrative units to grid squares of 100 m to 5 km resolution (10)(11)(12)(13)(14)(15)(16). Initial efforts to downscale these data used simple areal weighting methods (10,17) or dasymetric modeling approaches (13)(14)(15), which use ancillary layers to redistribute population counts within administrative units (18). Modeling techniques that spatially downscale population numbers into gridded datasets continue to be refined, with basic dasymetric models increasing in sophistication, incorporating multiscale remotely sensed and geospatial data and making improvements in the type of statistical algorithms used in the modeling process (19)(20)(21).…”
mentioning
confidence: 99%
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“…Exposure to people was made using a map of spatially distributed population estimates from 25 2015 (Fig. 3b) at the spatial resolution of 100 m 2 (Gaughan et al, 2013). Lastly, we investigated the relationship between flood exposure and monetary income using a map of neighbourhoods with different income levels (Fig.…”
mentioning
confidence: 99%