Spatial Data Mining and Analysis of the Distribution of Regional Economy

被引：0
|
作者：
Lian, Jian [1 ]
Li, Xiaojuan [1 ]
Gong, Huili [1 ]
Sun, Yonghua [1 ]
Li, Lingling [2 ]
机构：
[1] Capital Normal Univ, Minist Educ, Key Lab 3D Informat Acquisit & Applicat, Beijing, Peoples R China
[2] Beijing Normal Univ, Coll Resources Sci & Technol, Beijing, Peoples R China
来源：
2008 INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND TRAINING AND 2008 INTERNATIONAL WORKSHOP ON GEOSCIENCE AND REMOTE SENSING, VOL 2, PROCEEDINGS, | 2009年
关键词：
spatial data mining; ESDA; spatial analysis; regional economy;
D O I：
10.1109/ETTandGRS.2008.18
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The aim of this paper is to study the regional economic difference with the spatial data mining theories. In this paper, we take the per capita agricultural total output value as index variable, and take the township as the basic analysis unit. Based on the ESDA methods (global and local spatial autocorrelation) of spatial data mining theory, including Moran I index, Moran Scatter Plot and LISA, we research and analyze the agricultural economy spatial distribution of Beijing townships in 2005 from the spatial interactive angel, and then reveal the spatial autocorrelation and spatial heterogeneity among townships. The results show that agricultural economy of Beijing townships has a strong spatial correlation generally, and there also exist spatial heterogeneity problems between local townships.
引用
收藏
页码：145 / +
页数：3
相关论文
共 50 条
  • [41] Application of space time regional economy visualization based on telecom big data analysis
    Li N.
    Liu W.
    Meng F.
    Liu Y.
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2022, 48 (02): : 273 - 281
  • [42] A new kind of tuple for spatial data mining
    Wang Fuquan
    Sun Qingxian
    Fang Tao
    Guo Dazhi
    GEOINFORMATICS 2006: GEOSPATIAL INFORMATION SCIENCE, 2006, 6420
  • [43] Temporal and spatial evolution of the coupling relationship between regional innovation system and regional economy
    Tang Yizhou
    Lin Xin
    AGRO FOOD INDUSTRY HI-TECH, 2017, 28 (01): : 2179 - 2184
  • [44] Behavior Mining of Spatial Objects with Data Field
    Wang Shuliang
    Wu Juebo
    Cheng Feng
    Jin Hong
    Zeng Shi
    GEO-SPATIAL INFORMATION SCIENCE, 2009, 12 (03) : 202 - 211
  • [45] Spatial data analysis using association rule mining in distributed environments: a privacy prospect
    Kumar R.
    Son L.H.
    Jha S.
    Mittal M.
    Goyal L.M.
    Spatial Information Research, 2018, 26 (6) : 629 - 638
  • [46] Analysis of linear multipliers in an open regional economy
    Llop, Maria
    Manresa, Antonio
    REGIONAL STUDIES, 2007, 41 (04) : 421 - 428
  • [47] Analysis on Regional Economy Development View and Model
    Zhu, Weiwei
    PROCEEDINGS OF THE 2015 3RD INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE, EDUCATION TECHNOLOGY, ARTS, SOCIAL SCIENCE AND ECONOMICS (MSETASSE 2015), 2015, 41 : 516 - 520
  • [48] Analysis of the Coordinated Development Mechanism of Regional Economy
    Xu, Quan
    2018 5TH INTERNATIONAL CONFERENCE ON BUSINESS, ECONOMICS AND MANAGEMENT (BUSEM 2018), 2018, : 235 - 238
  • [49] On Analysis of the Development of Chinese Regional Economy and Countermeasures
    Wang, Shuguang
    Jin, Xiangxin
    RENEWABLE AND SUSTAINABLE ENERGY, PTS 1-7, 2012, 347-353 : 3968 - +
  • [50] Amenable Mortality in Germany: Spatial Distribution and Regional Concentrations
    Sundmacher, L.
    Kimmerle, J.
    Latzitis, N.
    Busse, R.
    GESUNDHEITSWESEN, 2011, 73 (04) : 229 - 237
12345