地理科学进展 ›› 2017, Vol. 36 ›› Issue (10): 1196-1207.doi: 10.18306/dlkxjz.2017.10.002

• 研究综述 • 上一篇    下一篇

网络约束点格局分析研究综述

聂可1,2(), 王振声3, 杜清运4,*(), 罗平1,2   

  1. 1. 深圳市数字城市工程研究中心,广东 深圳 518034
    2. 国土资源部城市土地资源监测与仿真重点实验室,广东深圳 518034
    3. 深圳大学空间信息智能感知与服务深圳市重点实验室,广东 深圳518060
    4. 武汉大学资源与环境科学学院,武汉 430079
  • 出版日期:2017-10-28 发布日期:2017-10-28
  • 通讯作者: 杜清运 E-mail:nieke@whu.edu.cn;qydu@whu.edu.cn
  • 作者简介:

    作者简介:聂可(1988-),女,湖北黄冈人,博士,助理研究员,主要从事城市定量分析与表达研究,E-mail: nieke@whu.edu.cn

  • 基金资助:
    国土资源部公益性行业科研专项(201411014-4);国家自然科学基金项目(41371427,41601407);国土资源部城市土地资源监测与仿真重点实验室开放基金资助课题(KF-2016-02-011)

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 E-mail:nieke@whu.edu.cn;qydu@whu.edu.cn
  • 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

摘要:

随着信息通信技术高速发展,地理相关大数据使得传统的空间分析面临着机遇与挑战。平面空间分析方法在分析网络空间点要素空间过程、揭示其空间分布时的弊端日益凸显,由此对探索网络约束点要素特定的分析方法的关注度不断提高。本文定义了网络约束的思想,详细阐述了网络约束点格局分析方法体系,并分别从网络约束点格局的理论和应用出发,梳理了网络约束点格局分析的一阶方法、二阶方法及其他方法上的研究进展,总结了网络约束点格局分析在交通安全领域、犯罪学领域和其他城市点要素中的典型应用,最后在方法与应用层面,讨论近年重要的研究动向及未来的发展趋势。

关键词: 网络约束, 点格局分析, 网络约束建模, 理论发展, 点格局应用研究

Abstract:

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