• DocumentCode
    2509756
  • Title

    A similarity measure for time series of spatial lines intersection relations

  • Author

    Liu, Sheng ; Ji, Genlin ; Li, Wenjun

  • Author_Institution
    Key Lab. of Virtual Geographic Environ., Nanjing Normal Univ., Nanjing, China
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    13
  • Lastpage
    15
  • Abstract
    Spatial lines are common in various spatial applications such as GIS (Geographical Information System). Topological relationship is one of important properties between spatial lines. Neglecting disjoint relations and adjacent relations between spatial lines, in this paper we focus on intersection relations. Time series of spatial lines intersection relations record each spatial line intersection relations at each time. The changes of intersection relationship are caused by deformations (translation, rotation, and length of spatial lines) and increasing or decreasing of the number of spatial lines neighbours. We propose a similarity measure for time series of spatial lines topological relations. By this measure, we can cluster these spatial lines on time series of their intersection relations.
  • Keywords
    geographic information systems; time series; adjacent relation; disjoint relation; geographical information system; spatial lines intersection relation; spatial lines topological relation; time series; Area measurement; Clustering algorithms; Indexes; Shape measurement; Time measurement; Time series analysis; Trajectory; intersection relations; similarity measure; spatial lines; spatial lines clustering; time series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spatial Data Mining and Geographical Knowledge Services (ICSDM), 2011 IEEE International Conference on
  • Conference_Location
    Fuzhou
  • Print_ISBN
    978-1-4244-8352-5
  • Type

    conf

  • DOI
    10.1109/ICSDM.2011.5968121
  • Filename
    5968121