• DocumentCode
    2431216
  • Title

    Spatial cluster based on map algebra

  • Author

    Zhang, Jianbo ; Liu, Jiping ; Wang, Bei

  • Author_Institution
    Res. Center of Gov. Geographic Inf. Syst., Chinese Acad. of Surveying & Mapping, Beijing, China
  • fYear
    2010
  • fDate
    7-9 May 2010
  • Firstpage
    2335
  • Lastpage
    2338
  • Abstract
    The analysis of spatial cluster is an important issue in the field of spatial data mining. After investigating the general approaches of spatial cluster, based on the distance transformation of map algebra, a clustering model is designed, and an approach of spatial cluster Based on Map algebra is proposed. Finally, the experiments has been executed with the geo-spatial statistical data about the Entertainment of Wuhan residents, the result represents reasonable Leisure Activities cluster for urban residential areas.
  • Keywords
    algebra; computational geometry; data mining; geographic information systems; pattern clustering; statistical analysis; visual databases; Wuhan resident entertainment; data mining; distance transformation; geospatial statistical data; leisure activity; map algebra; spatial cluster analysis; urban residential area; Algebra; Clustering algorithms; Data mining; Data models; Partitioning algorithms; Spatial databases; Transforms; distance transformation; map algebra; spatial cluster;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and E-Government (ICEE), 2010 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3997-3
  • Type

    conf

  • DOI
    10.1109/ICEE.2010.590
  • Filename
    5592402