A Modified Ripley's K Function to Detecting Spatial Pattern of Urban System

被引:0
|
作者
Zhu, Guohui [1 ]
Ge, Ying [1 ]
Wang, Huachen [1 ]
机构
[1] Hohai Univ, Sch Earth Sci & Engn, Nanjing, Jiangsu, Peoples R China
来源
2013 21ST INTERNATIONAL CONFERENCE ON GEOINFORMATICS (GEOINFORMATICS) | 2013年
关键词
Ripley's K function; spatial pattern of urban system; border effect; Yangtze River Delta(YRD); 2ND-ORDER ANALYSIS; EVOLUTION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper uses a modified Ripley's K function to examine the spatial evolution of urban system in the Yangtze River Delta (YRD) of China during the period of 1980-2010. Furthremore, we examine whether coastlines and provincial borders benefit the concentration of city location or size distribution in this region. The results show that: (1) the spatial evolution of the YRD city location distribution reflects the orientation of national urbanization strategy, while its urban size distribution evolves as a result of game between government and market. The pattern of urban system continuously shifts between concentration and dispersion. (2) Border effect on urban system's distribution pattern is complex. Coastlines have positive effects on the agglomeration of the large cities with 0.5 to 1 million people, and provincial borders have positively or negatively influences on the YRD location and size. (3) The spillover effect of cities outside the YRD positively promotes the concentration of city location in terms of mega-cities, large-cities and small-cities. The size distribution of all cities, except for maga-cities, in the YRD shifts from concentration to dispersion.
引用
收藏
页数:5
相关论文
共 26 条
  • [21] Detection of Breast Masses in Mammogram Images Using Growing Neural Gas Algorithm and Ripley's K Function
    Martins, Leonardo de Oliveira
    Silva, Aristofanes Correa
    de Paiva, Anselmo Cardoso
    Gattass, Marcelo
    JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 2009, 55 (1-3): : 77 - 90
  • [22] The evolution of urban ecological spatial pattern based on the assessment of recreational service function
    Li, Hua
    Tong, Helong
    HUMAN AND ECOLOGICAL RISK ASSESSMENT, 2018, 24 (04): : 1074 - 1091
  • [23] APPLICATION OF RIPLEY'S K-FUNCTION IN RESEARCH ON PROTECTION OF UNDERGROUND INFRASTRUCTURE AGAINST SELECTED EFFECTS OF SUFFOSION
    Iwanek, Malgorzata
    INTERNATIONAL JOURNAL OF CONSERVATION SCIENCE, 2021, 12 : 827 - 834
  • [24] Three dimensional cluster analysis for atom probe tomography using Ripley's K-function and machine learning
    Vincent, Galen B.
    Proudian, Andrew P.
    Zimmerman, Jeramy D.
    ULTRAMICROSCOPY, 2021, 220
  • [25] The Spatial Pattern of Urban Settlement in China from the 1980s to 2010
    Shi, Lifeng
    Zhong, Taiyang
    SUSTAINABILITY, 2019, 11 (23)
  • [26] Diagnosis of solitary lung nodules using the local form of Ripley's K function applied to three-dimensional CT data
    da Silva, Erick Correa
    Silva, Aristofanes Correa
    de Paiva, Anselmo Cardoso
    Nunes, Rodolfo Acatauassu
    Gattass, Marcelo
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2008, 90 (03) : 230 - 239