TIAN Jing, WANG Yiheng, YAN Fen, XIONG Fuquan. A New Method for Mining Co-location Patterns Between Network Spatial Phenomena[J]. Geomatics and Information Science of Wuhan University, 2015, 40(5): 652-660. DOI: 10.13203/j.whugis20130448
Citation: TIAN Jing, WANG Yiheng, YAN Fen, XIONG Fuquan. A New Method for Mining Co-location Patterns Between Network Spatial Phenomena[J]. Geomatics and Information Science of Wuhan University, 2015, 40(5): 652-660. DOI: 10.13203/j.whugis20130448

A New Method for Mining Co-location Patterns Between Network Spatial Phenomena

Funds: The National Science Foundation for Fostering Talents in Basic Research of the National Natural Science Foundationof China,No.J1103409;Student Training Program of Wuhan University for Scientific Research and Entrepreneurship,S2014438.
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  • Author Bio:

    TIAN Jing: 国家基础科学人才培养基金资助项目(J1103409);武汉大学大学生创新创业训练资助项目(S2014438)

  • Received Date: August 28, 2013
  • Revised Date: May 04, 2015
  • Published Date: May 04, 2015
  • The mining of co-location patterns is a hot issue in the field of spatial data mining.Howev-er,a little attention has been paid to the co-location patterns between network spatial phenomena.This paper extends an existing approach to mining the co-location patterns between network spatialphenomena.The approach consists of two core stages:①defining a co-location model to have co-oc-currence relations by partitioning the network;②computing the statistical diagnostics for these co-oc-currence relations.The approach has been applied to a case study,which dealt with the mining of theco-location patterns of manufacturing firms in Shenzhen City,China.The co-location patterns havebeen analyzed qualitatively according to the three mechanisms derived from agglomeration economics.The validation of the approach has been verified by the comparison with the existing method and thenetwork cross K-function.
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