PROGRESS IN GEOGRAPHY ›› 2009, Vol. 28 ›› Issue (1): 9-17.doi: 10.11820/dlkxjz.2009.01.002

• Original Articles • Previous Articles     Next Articles

Spatiotemporal Data Models and Their Extensions: A Review

CHEN Xinbao1,2, LI Songnian1, ZHU Jianjun2, CHEN Jianqun2   

  1. 1. Dept. of Civil Engineering, Ryerson University, Toronto, Canada;
    2. School of Info-physical and Geometrics Engineering, Central South University, Changsha 410083, China
  • Received:2008-03-01 Revised:2008-09-01 Online:2009-01-24 Published:2009-01-24


Comparing to the traditional GIS data models, research on spatiotemporal data modeling, although still in its early stage, has generated a large number of data models. In reviewing these spatiotemporal data models, many researchers focused more on pros and cons or applications of the models, but ignored their inherent differences, expansions and associations; thus losing tracks of their expansions, variations and development trends. This eventually results in non-optimized choices when selecting applications, practices and integration of the model. This paper further enhances and induces the existing models, mainly focusing on 1) describing the expansions and associations of the related spatiotemporal data models, 2) analyzing the inherent differences between models, and 3) presenting the model's evolvement. The results should provide guidelines for the applications of the models and theoretical bases for model expansions and the research of new data models.

Key words: model’s associations, model’s extension, spatiotemporal data model