Downscaling Census Data for Gridded Population Mapping With Geographically Weighted Area-to-Point Regression Kriging

doi:10.1109/ACCESS.2019.2945000

	Downscaling Census Data for Gridded Population Mapping With Geographically Weighted Area-to-Point Regression Kriging
	Chen, Yuehong 1; Zhang, Ruojing 1; Ge, Yong 3; Jin, Yan 2; Xia, Zelong 1
刊名	IEEE ACCESS
	2019
卷号	7 页码:149132-149141
关键词	Gridded population distribution census data geospatial data social sensing data geographically weighted area-to-point regression kriging downscaling geographical information science
ISSN号	2169-3536
DOI	10.1109/ACCESS.2019.2945000
通讯作者	Ge, Yong(gey@lreis.ac.cn)
英文摘要	Understanding human population distribution on the earth at fine scales is an increasingly need to a broad range of geoscience fields, including resource allocation, transport and city planning, infectious disease assessment, disaster risk response, and climate change. Many approaches have been developed to spatially downscale census data to gridded population distribution datasets, which are preferable to integration with natural and socio-economic variables. We present a novel population downscaling approach that geographically weighted area-to-point regression kriging technique is used to downscale census data to gridded population distribution datasets with multisource geospatial and social sensing data. As a case study in Nanjing city, China we evaluated the effectiveness of the proposed population downscaling approach. The experimental results demonstrated that the proposed approach generated more accurate details of population distribution and higher accuracy than existing widely-used gridded population distribution products. Hence, the proposed population downscaling approach is a valuable option in producing gridded population distribution maps.
资助项目	Chinese Academy of Sciences[XDA 20030302] ; Fundamental Research Funds for the Central Universities[2019B00314] ; National Natural Science Foundation of China[41701376] ; National Natural Science Foundation of China[41725006]
WOS关键词	GLOBAL POPULATION ; LAND-COVER ; SURFACE ; IMAGES ; LEVEL
WOS研究方向	Computer Science ; Engineering ; Telecommunications
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000510424700001
资助机构	Chinese Academy of Sciences ; Fundamental Research Funds for the Central Universities ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/132444]
专题	中国科学院地理科学与资源研究所
通讯作者	Ge, Yong
作者单位	1.Hohai Univ, Sch Earth Sci & Engn, Nanjing 210098, Peoples R China 2.Nanjing Univ Posts & Telecommun, Sch Geog & Biol Informat, Nanjing 210023, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Chen, Yuehong,Zhang, Ruojing,Ge, Yong,et al. Downscaling Census Data for Gridded Population Mapping With Geographically Weighted Area-to-Point Regression Kriging[J]. IEEE ACCESS,2019,7:149132-149141.
APA	Chen, Yuehong,Zhang, Ruojing,Ge, Yong,Jin, Yan,&Xia, Zelong.(2019).Downscaling Census Data for Gridded Population Mapping With Geographically Weighted Area-to-Point Regression Kriging.IEEE ACCESS,7,149132-149141.
MLA	Chen, Yuehong,et al."Downscaling Census Data for Gridded Population Mapping With Geographically Weighted Area-to-Point Regression Kriging".IEEE ACCESS 7(2019):149132-149141.