PROGRESS IN GEOGRAPHY ›› 2017, Vol. 36 ›› Issue (10): 1196-1207.doi: 10.18306/dlkxjz.2017.10.002

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A review of network-constrained point pattern analysis

Ke NIE1,2(), Zhensheng WANG3, Qingyun DU4,*(), Ping LUO1,2   

  1. 1. Shenzhen Research Center of Digital City Engineering, Shenzhen 518034, Guangdong, China
    2. Key Laboratory of Urban Land Resources Monitoring and Simulation Ministry of Land and Resources of China, Shenzhen 518034, Guangdong, China
    3. Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, Guangdong, China
    4. School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, Hubei, China
  • Online:2017-10-28 Published:2017-10-28
  • Contact: Qingyun DU;
  • Supported by:
    Special Scientific Research Fund of Public Welfare Profession of Ministry of Land and Resources of the People's Republic of China, No.201411014-4;National Natural Science Foundation of China, No.41371427, No.41601407;Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources, No.KF-2016-02-011


With the rapid development of information and communication technology, the explosive amount of spatial big data creates both opportunities and challenges in the field of spatial analysis. Shortcomings of the traditional analytic paradigm for spatial process and spatial pattern analyses of network-constrained spatial point event have been revealed. Therefore, many studies have attempted to develop novel approaches for network-constrained point event analysis. In this article, we first conceptually defined network-constrained phenomenon and presented in detail the methodological framework of network-constrained point pattern analysis. Then we generalized the development status of methods of network-constrained point pattern analysis, including first-order effect method, second-order effect method, among others, and summarized the present situation of typical applications in the research of traffic safety, criminology, and other point events in urban context. In the end, current trends and future directions are discussed with regard to research methods and applications.

Key words: network-constrained, point pattern analysis, network-constrained modeling, theoretical development, application of point pattern analysis