• DocumentCode
    2705378
  • Title

    Spatial analysis of regional economic development based on GIS in Chongqing, China

  • Author

    Liu, Jinglong ; Xu, Gang

  • Author_Institution
    Sch. of Geogr. Sci., Southwest Univ., Chongqing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The differences in development elements lead to spatial disparities of regional economic development. The study, using principal component analysis and spatial autocorrelation method, has found that the economic development in Chongqing was featured with strong positive spatial autocorrelation. The positive spatial autocorrelation appears in two forms named "HH" type and “LL" type. According to the survey and research results, the main city of Chongqing belongs to "HH" type, the southeast and the northeast, such as Pengshui, Fengjie, Wushan and Wuxi, belong to “LL" type. This spatial autocorrelation is caused by both natural and social factors. The results of overlay analysis show that strong spatial gathering in the northeast and southeast is caused by hilly land form with high slop and elevation, while the economic disparities and spatial gathering in other areas are more possibly caused by social factors, including the advantages of transportation and the early economic development.
  • Keywords
    economics; geographic information systems; principal component analysis; social sciences; China; Chongqing; GIS; principal component analysis; regional economic development; social factors; spatial analysis; spatial autocorrelation method; transportation; Cities and towns; Correlation; Economic indicators; Geographic Information Systems; Principal component analysis; Chongqing; GIS; Regional Economic Development; Spatial Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5980669
  • Filename
    5980669