Sparse reconstruction with spatial structures to automatically determine neighbors

doi:10.1080/13658816.2021.1885675

	Sparse reconstruction with spatial structures to automatically determine neighbors
	Yu, Wenhao 1,2,3; Zhang, Yifan 1; Chen, Zhanlong 1; Ai, Tinghua 4
刊名	INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
	2021-02-26
页码	23
关键词	Spatial database spatial data mining sparse coding spatial inference
ISSN号	1365-8816
DOI	10.1080/13658816.2021.1885675
通讯作者	Yu, Wenhao(yuwh@cug.edu.cn) ; Zhang, Yifan(yifanzhang@cug.edu.cn)
英文摘要	Previous research has tended to use a global threshold of proximity to determine neighbors, neglecting spatial heterogeneity. Flexible thresholds implemented by adaptive search radii methods account for either the spatial structures or the non-spatial similarities of objects, but few consider both. By combining the spatial and non-spatial information of objects, we propose a novel approach that can automatically determine the neighbors that are strongly related to the object of interest. We introduce the sparse reconstruction technique from the signal processing domain, which aims to remove trivial relationships in a dataset. We extend the sparse reconstruction model by assuring three principles in spatial data, including retention of the correlation of data in the non-spatial attribute domain, preservation of local dependencies in the spatial domain, and removal of trivial relationships. Extensive experiments, based on road network missing value imputation and building clustering, show that our approach can make better use of both spatial and non-spatial information than a simple addition of them.
资助项目	National Natural Science Foundation of China[42071442] ; National Natural Science Foundation of China[41701440] ; Natural Science Foundation of Hubei Province[2018CFB513] ; National Key Research and Development Program of China[2017YFB0503500] ; Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan)[CUG170640] ; State Key Laboratory of Resources and Environmental Information System[201801]
WOS研究方向	Computer Science ; Geography ; Physical Geography ; Information Science & Library Science
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000621697700001
资助机构	National Natural Science Foundation of China ; Natural Science Foundation of Hubei Province ; National Key Research and Development Program of China ; Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) ; State Key Laboratory of Resources and Environmental Information System
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/160543]
专题	中国科学院地理科学与资源研究所
通讯作者	Yu, Wenhao; Zhang, Yifan
作者单位	1.China Univ Geosci, Sch Geog & Informat Engn, Wuhan, Peoples R China 2.China Univ Geosci, Natl Engn Res Ctr Geog Informat Syst, Wuhan, Peoples R China 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 4.Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China
推荐引用方式 GB/T 7714	Yu, Wenhao,Zhang, Yifan,Chen, Zhanlong,et al. Sparse reconstruction with spatial structures to automatically determine neighbors[J]. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,2021:23.
APA	Yu, Wenhao,Zhang, Yifan,Chen, Zhanlong,&Ai, Tinghua.(2021).Sparse reconstruction with spatial structures to automatically determine neighbors.INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,23.
MLA	Yu, Wenhao,et al."Sparse reconstruction with spatial structures to automatically determine neighbors".INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2021):23.