• DocumentCode
    3136403
  • Title

    Researches on Land Resources Data Mining Technology based on Multi-grids

  • Author

    Yuhong, Shan ; Xinyan, Zhu ; Daosheng, Du

  • Author_Institution
    Wuhan Univ., Wuhan
  • fYear
    2007
  • fDate
    9-11 June 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The traditional land-use statistics based on administrative districts can not represent the spatial differences of land-use composition entirely. By introducing spatial hierarchy and non-spatial hierarchy the Statistical Information Grid-Based method is extended then it can manage and analyze land-use statistics in virtue of a kind of multi-grid data structure. Using a part of TM images of Wuhan district some experiments are carried out: the creation of quaternary breakdown multi-grids according to the complexity of land-use structure and the landscape diversity which can be figured out by TM image; the simulation of administrative borderline using grid cells; the computation and representation of the spatial difference in cultivated land per capita of the district, these experiments indicate land-use statistics based on multi-grids can show the spatial differences of land-use composition better and make for the land resources data-mining to achieve knowledge needed.
  • Keywords
    data mining; grid computing; land use planning; statistics; TM images; Wuhan district; land resources data mining technology; land-use statistics; landscape diversity; multigrid data structure; statistical information grid-based method; Agricultural engineering; Agriculture; Data engineering; Data mining; Data structures; Geography; Laboratories; Remote sensing; Statistical analysis; Statistics; Data mining; Land resources data; Multi-grids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management, 2007 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    1-4244-0885-7
  • Electronic_ISBN
    1-4244-0885-7
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2007.4280169
  • Filename
    4280169