Advances in Earth Science ›› 2016, Vol. 31 ›› Issue (10): 1001-1011. doi: 10.11867/j.issn.1001-8166.2016.10.1001.

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A Survey of the Spatio-Temporal Data Model

Qunyong Wu( ), Mei Sun, Lei Cui   

  1. Spatial Information Research Center of Fujian Province, Key Laboratory of Spatial Data Mining and Information Sharing of MOE, Fuzhou University, Fuzhou 350002, China
  • Received:2016-07-01 Revised:2016-09-02 Online:2016-10-20 Published:2016-10-20
  • About author:

    First author:Wu Qunyong(1973-),male,Zhucheng City,Shandong Province,Professor. Research areas include geographic information system and its application.E-mail:qywu@fzu.edu.cn

  • Supported by:
    Project supported by the National Natural Science Foundation of China “Urban passenger flow pattern analysis, visualization and planning optimization support”(No.41471333);The Key Project of Industry-University-Research Collaboration of Fujian Province “Research and application of mobile forest resource survey and integrated management platform”(No.2014H6011)

Qunyong Wu, Mei Sun, Lei Cui. A Survey of the Spatio-Temporal Data Model[J]. Advances in Earth Science, 2016, 31(10): 1001-1011.

Traditional GIS(Geographic Information System)mostly can only describe the transient state data and does not have the ability to deal with the temporal dynamic data. When the data changes, new data will take the place of the old data, namely the transient state change into another, and the old data will disappear. Therefore, it is unable to make an analysis of the updating changes of the data and predict the development trend of the future. In this case, TGIS (Temporal Geographic Information System) emerges and expands the time dimension on the basis of traditional GIS. Spatio-temporal data model is the key to TGIS. Spatio-temporal data modeling is not only related to dynamic expression of spatio-temporal objects, but also gives an important support for spatio-temporal analysis and reasoning. This paper summarized the theories and applications status at home and abroad of spatio-temporal data model in detail, illustrated family tree of spatio-temporal data model for the nearly fifty years, discussed improvement and application status of Base State with Amendments Model, Event-based Spatio-temporal Data Model, Object-oriented Data Model and other spatio-temporal data models, and raised the existing problems of spatio-temporal data model. The current existing problems mainly includes: ①There are a lot of spatio-temporal data models put forward, but some of them only focus on semantic design and neglect the verified; ②Most of existing spatio-temporal data model are for vector data, only the Event-based Spatio-temporal Data Model is raster data structure; ③At present, the expression the time-space information of geographic entity is relative separated with spatio-temporal data model; ④Spatio-temporal data model is mainly used in cadastral management, land use and forestry data updating, less application in other fields. In the end, the future development direction was put forward of spatio-temporal data model. In the time of big data and “Internet plus”, it is necessary to explore the big data spatio-temporal data model that supports multiple data formats.

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