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Which Gridded Population Data Product Is Better? Evidences from Mainland Southeast Asia (MSEA)

文献类型：期刊论文

作者Yin, Xu1,2; Li, Peng1,2; Feng, Zhiming1,2; Yang, Yanzhao1,2; You, Zhen2; Xiao, Chiwei2
刊名ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
出版日期2021-10-01
卷号10期号:10页码:15
关键词gridded population data population estimation consistency and discrepancy assessment human-environment interrelationships Mainland Southeast Asia (MSEA)
DOI10.3390/ijgi10100681
通讯作者Feng, Zhiming(fengzm@igsnrr.ac.cn)
英文摘要The release of global gridded population datasets, including the Gridded Population of the World (GPW), Global Human Settlement Population Grid (GHS-POP), WorldPop, and LandScan, have greatly facilitated cross-comparison for ongoing research related to anthropogenic impacts. However, little attention is paid to the consistency and discrepancy of these gridded products in the regions with rapid changes in local population, e.g., Mainland Southeast Asia (MSEA), where the countries have experienced fast population growth since the 1950s. This awkward situation is unsurprisingly aggravated because of national scarce demographics and incomplete census counts, which further limits their appropriate usage. Thus, comparative analyses of them become the priority of their better application. Here, the consistency and discrepancy of the four common global gridded population datasets were cross-compared by combing the 2015 provincial population statistics (census and yearbooks) via error-comparison based statistical methods. The results showed that: (1) the LandScan performs the best both in spatial accuracy and estimated errors, then followed by the WorldPop, GHS-POP, and GPW in MSEA. (2) Provincial differences in estimated errors indicated that the LandScan better reveals the spatial pattern of population density in Thailand and Vietnam, while the WorldPop performs slightly better in Myanmar and Laos, and both fit well in Cambodia. (3) Substantial errors among the four gridded datasets normally occur in the provincial units with larger population density (over 610 persons/km(2)) and a rapid population growth rate (greater than 1.54%), respectively. The new findings in MSEA indicated that future usage of these datasets should pay attention to the estimated population in the areas characterized by high population density and rapid population growth.

WOS关键词LANDSCAN ; AREAS ; CHINA ; MAP
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20010203] ; National Natural Science Foundation of China[41971242] ; National Natural Science Foundation of China[42001226] ; Youth Innovation Promotion Association of the Chinese Academy of Sciences[2020055]
WOS研究方向Computer Science ; Physical Geography ; Remote Sensing
语种英语
WOS记录号WOS:000711516400001
出版者MDPI
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; Youth Innovation Promotion Association of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/167403]  
专题中国科学院地理科学与资源研究所
通讯作者Feng, Zhiming
作者单位1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Yin, Xu,Li, Peng,Feng, Zhiming,et al. Which Gridded Population Data Product Is Better? Evidences from Mainland Southeast Asia (MSEA)[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2021,10(10):15.
APA Yin, Xu,Li, Peng,Feng, Zhiming,Yang, Yanzhao,You, Zhen,&Xiao, Chiwei.(2021).Which Gridded Population Data Product Is Better? Evidences from Mainland Southeast Asia (MSEA).ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,10(10),15.
MLA Yin, Xu,et al."Which Gridded Population Data Product Is Better? Evidences from Mainland Southeast Asia (MSEA)".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 10.10(2021):15.

入库方式： OAI收割

来源：地理科学与资源研究所

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