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Fine-scale population spatialization data of China in 2018 based on real location-based big data

文献类型：期刊论文

作者Chen, Mingxing1,3; Xian, Yue1,3; Huang, Yaohuan3; Zhang, Xiaoping1; Hu, Maogui3; Guo, Shasha1,2,3; Chen, Liangkan1,3; Liang, Longwu1,3
刊名SCIENTIFIC DATA
出版日期2022-10-14
卷号9期号:1页码:10
DOI10.1038/s41597-022-01740-5
通讯作者Hu, Maogui(humg@lreis.ac.cn)
英文摘要Accurate location-based big data has a high resolution and a direct interaction with human activities, allowing for fine-scale population spatial data to be realized. We take the average of Tencent user location big data as a measure of ambient population. The county-level statistical population data in 2018 was used as the assigned input data. The log linear spatially weighted regression model was used to establish the relationship between location data and statistical data to allocate the latter to a 0.01 degrees grid, and the ambient population data of mainland China was obtained. Extracting street-level (lower than county-level) statistics for accuracy testing, we found that POP2018 has the best fit with the actual permanent population (R-2 = 0.91), and the error is the smallest (MSEPOP2018 = 22.48
WOS关键词URBAN-POPULATION ; NIGHTTIME LIGHT ; AREAL INTERPOLATION ; DENSITY ; IMAGERY ; MIGRATION ; ACCURACY ; LANDSCAN ; SURFACE ; MODELS
资助项目National Natural Science Foundation of China[42171204] ; National Natural Science Foundation of China[42121001] ; National Natural Science Foundation of China[41930651] ; National Natural Science Foundation of China[41771133] ; Chinese Academy of Sciences Basic Frontier Science Research Program from 0 to 1 Original Innovation Project[ZDBS-LYD-QC005] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23100301]
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:000873878900003
出版者NATURE PORTFOLIO
资助机构National Natural Science Foundation of China ; Chinese Academy of Sciences Basic Frontier Science Research Program from 0 to 1 Original Innovation Project ; Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/186358]  
专题中国科学院地理科学与资源研究所
通讯作者Hu, Maogui
作者单位1.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing, Peoples R China
2.China Acad Bldg Res, Inst Urban & Rural Planning, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Chen, Mingxing,Xian, Yue,Huang, Yaohuan,et al. Fine-scale population spatialization data of China in 2018 based on real location-based big data[J]. SCIENTIFIC DATA,2022,9(1):10.
APA Chen, Mingxing.,Xian, Yue.,Huang, Yaohuan.,Zhang, Xiaoping.,Hu, Maogui.,...&Liang, Longwu.(2022).Fine-scale population spatialization data of China in 2018 based on real location-based big data.SCIENTIFIC DATA,9(1),10.
MLA Chen, Mingxing,et al."Fine-scale population spatialization data of China in 2018 based on real location-based big data".SCIENTIFIC DATA 9.1(2022):10.

入库方式： OAI收割

来源：地理科学与资源研究所

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