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A Method of Population Spatialization Considering Parametric Spatial Stationarity: Case Study of the Southwestern Area of China

文献类型：期刊论文

作者Xiong, Junnan4,5; Li, Kun5; Cheng, Weiming2,3,4; Ye, Chongchong5; Zhang, Hao1,5
刊名ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
出版日期2019-11-01
卷号8期号:11页码:19
关键词population spatialization spatial stationarity geographically weighted regression DMSP/OLS land use
DOI10.3390/ijgi8110495
通讯作者Li, Kun(201822000586@stu.swpu.edu.cn)
英文摘要Population is a crucial basis for the study of sociology, geography, environmental studies, and other disciplines; accurate estimates of population are of great significance for many countries. Many studies have developed population spatialization methods. However, little attention has been paid to the differential treatment of the spatial stationarity and non-stationarity of variables. Based on a semi-parametric, geographically weighted regression model (s-GWR), this paper attempts to construct a novel, precise population spatialization method considering parametric stationarity to enhance spatialization accuracy; the southwestern area of China is used as the study area for comparison and validation. In this study, the night-time light and land use data were integrated as weighting factors to establish the population model; based on the analysis of variables characteristics, the method uses an s-GWR model to deal with the spatial stationarity of variables and reduce regional errors. Finally, the spatial distribution of the population (SSDP) of the study area in 2010 was obtained. When assessed against the traditional regression models, the model that considers parametric stationarity is more accurate than the models without it. Furthermore, the comparison with three commonly-used population grids reveals that the SSDP has a percentage error close to zero at the county level, while at the township level, the mean relative error of SSDP is 33.63%, and that is >15% better than other population grids. Thus, this study suggests that the proposed method can produce a more accurate population distribution.
WOS关键词LAND-USE ; SATELLITE IMAGERY ; NIGHTTIME LIGHT ; DENSITY ; PATTERNS ; COVER ; MODEL ; SATURATION ; REGRESSION ; EMISSIONS
资助项目Strategic Priority Research Program of Chinese Academy of Sciences[XDA20030302] ; Science and Technology Project of Xizang Autonomous Region[XZ201901-GA-07] ; Open Subject of Big Data Institute of Digital Natural Disaster Monitoring in Fujian[NDMBD2018003] ; Southwest Petroleum University of Science and Technology Innovation Team Projects[2017CXTD09] ; National Flash Flood Investigation and Evaluation Project[SHZH-IWHR-57]
WOS研究方向Physical Geography ; Remote Sensing
语种英语
WOS记录号WOS:000502272600029
出版者MDPI
资助机构Strategic Priority Research Program of Chinese Academy of Sciences ; Science and Technology Project of Xizang Autonomous Region ; Open Subject of Big Data Institute of Digital Natural Disaster Monitoring in Fujian ; Southwest Petroleum University of Science and Technology Innovation Team Projects ; National Flash Flood Investigation and Evaluation Project
源URL[http://ir.igsnrr.ac.cn/handle/311030/130689]  
专题中国科学院地理科学与资源研究所
通讯作者Li, Kun
作者单位1.Chinese Acad Sci, Inst Mt Disasters & Environm, Chengdu 610041, Sichuan, Peoples R China
2.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
5.Southwest Petr Univ, Sch Civil Engn & Architecture, Chengdu 610500, Sichuan, Peoples R China
推荐引用方式
GB/T 7714		 Xiong, Junnan,Li, Kun,Cheng, Weiming,et al. A Method of Population Spatialization Considering Parametric Spatial Stationarity: Case Study of the Southwestern Area of China[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2019,8(11):19.
APA Xiong, Junnan,Li, Kun,Cheng, Weiming,Ye, Chongchong,&Zhang, Hao.(2019).A Method of Population Spatialization Considering Parametric Spatial Stationarity: Case Study of the Southwestern Area of China.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,8(11),19.
MLA Xiong, Junnan,et al."A Method of Population Spatialization Considering Parametric Spatial Stationarity: Case Study of the Southwestern Area of China".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 8.11(2019):19.

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来源：地理科学与资源研究所

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