• DocumentCode
    1999381
  • Title

    The spatial pattern analysis of economic growth of JingJinJi Metropolitan Region

  • Author

    Lian, Jian ; Li, Xiaojuan ; Gong, Huili ; Wang, Yanbing ; Sun, Yonghua

  • Author_Institution
    Key Lab. of 3D Inf. Acquisition & Applic., Capital Normal Univ., Beijing, China
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The regional economic disparity is always a research hot spot to domestic and foreign scholars. In this paper, the Beijing-Tianjin-Hebei metropolitan region was taken as research object; methods of exploratory spatial data analysis and spatial autocorrelation model provide new insights to explore spatial dependence relation of JingJinJi Metropolitan Region over the 2001-2006 periods. Through spatial trend and character analysis, the Trend Info TuPu of GDP and population in this region was created. Furthermore, the certificated spatial data analysis method was introduced to construct the fit spatial relation model for the economic growth process, including spatial error model (SRM), spatial lag model (SLM), to further confirmed the spatial relation effect in the regional economic growth.
  • Keywords
    data analysis; economic indicators; geographic information systems; socio-economic effects; Beijing-Tianjin-Hebei metropolitan region; JingJinJi metropolitan region; certificated spatial data analysis method; character analysis; exploratory spatial data analysis method; regional economic disparity; regional economic growth process; spatial autocorrelation model; spatial dependence relation; spatial error model; spatial lag model; spatial relation model; Analytical models; Biological system modeling; Correlation; Data analysis; Economic indicators; Spatial databases; economic growth; spatial error model; spatial lag model; spatial pattern analysis; spatial trend analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2010 18th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-7301-4
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2010.5567867
  • Filename
    5567867