• DocumentCode
    2483451
  • Title

    Research on the Feature and Uncertainty Based Spatio-Temporal Data Model

  • Author

    Wu, Xiaochun ; Zhang, Zhi ; Hao, XiaoSong ; Su, Zixuan

  • Author_Institution
    Dept. of Database Applic., Shaanxi Geomatics Center of State Bur. of Surveying & Mapping, Xian, China
  • fYear
    2010
  • fDate
    22-23 May 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Now more and more demands to spatio-temporal data and the spatio-temporal data model is key issue of describing and managing the spatio-temporal data. The spatio-temporal data model integrates time and space so it can truly describe the reality. But the objective world still has another characteristic--uncertainty. Only including uncertainty the spatio-temporal data model can completely and truly reflect the world. Based on the feature based spatio-temporal data model and starting with the feature uncertainty, the article gives a logical model of the spatio-temporal data model including uncertainty and provides a logical method to implement the model. This article is an attempt to build a perfect spatio-temporal data model and provides a new idea to research the spatio-temporal data.
  • Keywords
    data models; geographic information systems; uncertainty handling; GIS; feature based spatio-temporal data model; logical model; uncertainty feature; Application software; Computer science; Data models; Educational institutions; Extraterrestrial phenomena; Geographic Information Systems; Object oriented modeling; Spatial databases; Spatiotemporal phenomena; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5872-1
  • Electronic_ISBN
    978-1-4244-5874-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2010.5473515
  • Filename
    5473515