• DocumentCode
    1989643
  • Title

    A Version-Based Modeling Approach for Spatio-temporal Data

  • Author

    Li, Yangdong ; Tong, Xiaohua ; Liu, Miaolong ; Han, Zhen

  • Author_Institution
    Coll. of Marine Sci. & Technol., Shanghai Ocean Univ., Shanghai
  • Volume
    2
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    89
  • Lastpage
    94
  • Abstract
    Temporal geographic information system (TGIS) aims to collect, manage and analyze dynamic geographic phenomena. In order to represent and process time-evolving geographic phenomena, one of the key problems is to design a good spatio-temporal data model. Much work has been made on spatio-temporal data models or on spatio-temporal modeling approaches, but they have mainly focused on change of spatial data but not of non-spatial data. This paper attempts to address this problem. A novel unified version-based modeling approach for spatio-temporal data is proposed. Based on the conception of version, the evolution of geographic phenomena is represented by a series of object-versions and attribute-versions which are associated with temporal information. This approach processes the spatio-temporal data more effectively and treats spatial data and non-spatial data in a uniform way. Using this modeling approach, the object states can be retrieved conveniently and the evolution history of an object or its attributes can be traced easily.
  • Keywords
    geographic information systems; spatiotemporal phenomena; dynamic geographic phenomena analysis; spatio-temporal modeling approaches; spatiotemporal data model; temporal geographic information system; version-based modeling approach; Computer aided software engineering; Data models; Educational institutions; Educational technology; Engineering management; Geographic Information Systems; Geoscience and remote sensing; Marine technology; Object oriented modeling; Oceans; TGIS; spatio-temoral data model; version-based;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3563-0
  • Type

    conf

  • DOI
    10.1109/ETTandGRS.2008.241
  • Filename
    5070315