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Decomposition of Repulsive Clusters in Complex Point Processes with Heterogeneous Components
Song, Ci1,2; Pei, Tao1,2
2019-08-01
Source PublicationISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
Volume8Issue:8Pages:16
Corresponding AuthorPei, Tao(peit@lreis.ac.cn)
AbstractThe decomposition of a point process is useful for the analysis of spatial patterns and in the discovery of potential mechanisms of geographic phenomena. However, when a local repulsive cluster is present in a complex heterogeneous point process, the traditional solution, which is based on clustering, may be invalid for decomposition because a repulsive pattern is not subject to a specific probability distribution function and the effects of aggregative and repulsive components may be counterbalanced. To solve this problem, this paper proposes a method of decomposing repulsive clusters in complex point processes with multiple heterogeneous components. A repulsive cluster is defined as a set of repulsive density-connected points that are separated by a certain distance at a small scale and aggregated at a large scale simultaneously. The H-function is used to identify repulsive clusters by determining the repulsive distance and extracting repulsive points for further clustering. Through simulation experiments based on three datasets, the proposed method has been shown to effectively perform repulsive cluster decomposition in heterogeneous point processes. A case study of the point of interest (POI) dataset in Beijing also indicates that the method can identify meaningful repulsive clusters from types of POIs that represent different service characteristics of shops in different local regions.
Keyworddecomposition of a point process spatial heterogeneity repulsive cluster aggregative cluster H-function
DOI10.3390/ijgi8080326
WOS KeywordNEAREST-NEIGHBOR METHOD ; DENSITY
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41525004] ; National Natural Science Foundation of China[41421001] ; National Natural Science Foundation of China[41601430] ; Key Research Program of Frontier Science, Chinese Academy of Sciences[QYZDY-SSW-DQC007]
Funding OrganizationNational Natural Science Foundation of China ; Key Research Program of Frontier Science, Chinese Academy of Sciences
WOS Research AreaPhysical Geography ; Remote Sensing
WOS SubjectGeography, Physical ; Remote Sensing
WOS IDWOS:000482985000025
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/69676
Collection中国科学院地理科学与资源研究所
Corresponding AuthorPei, Tao
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 101408, Peoples R China
Recommended Citation
GB/T 7714
Song, Ci,Pei, Tao. Decomposition of Repulsive Clusters in Complex Point Processes with Heterogeneous Components[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2019,8(8):16.
APA Song, Ci,&Pei, Tao.(2019).Decomposition of Repulsive Clusters in Complex Point Processes with Heterogeneous Components.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,8(8),16.
MLA Song, Ci,et al."Decomposition of Repulsive Clusters in Complex Point Processes with Heterogeneous Components".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 8.8(2019):16.
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