地理科学进展 ›› 2009, Vol. 28 ›› Issue (1): 9-17.doi: 10.11820/dlkxjz.2009.01.002

• 地理统计与模型 • 上一篇    下一篇

时空数据模型综述

陈新保1,2, Songnian Li1, 朱建军2, 陈建群2   

  1. 1. 瑞尔森大学土木工程系,加拿大多伦多;
    2. 中南大学信息物理工程学院,长沙410083
  • 收稿日期:2008-03-01 修回日期:2008-09-01 出版日期:2009-01-24 发布日期:2009-01-24
  • 通讯作者: 朱建军(1965-), 教授,博导,主要从事空间误差分析及模型构建等研究.E-mail:zjj@mail.csu.edu.cn E-mail:zjj@mail.csu.edu.cn
  • 作者简介:陈新保(1980-),男,湖南桂阳人,加拿大瑞尔森大学访问博士生,现从事时空模型、高级时空分析和协作式下的网 络分析等方面的研究,已发表论文4 篇.E-mail:chenxinbao_520@hotmail.com
  • 基金资助:

    国家留学基金项目(2007-3020).

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

摘要:

虽然相对传统的GIS 数据模型而言,人们对时空数据模型的研究起步较晚,但是大量的时空数据模型已经 被提出了。在综述已有时空数据模型时,就如何区别时空数据模型的异同,众多研究人员和学者更多地是比较模型 优缺点或罗列和陈述各模型针对某一案例的实践和应用,而没有阐述模型间的本质区别,没有过多地解释模型扩 展及其关联性,也就无法跟踪已有模型的扩展、变异和发展趋势,最终导致在选择模型的应用、实践和整合其他非- 时空数据模型时,不能做出最优抉择。与众多相关时空数据模型的综述文献不同,本文进一步提升和归纳已有模 型,主要集中叙述众多相关时空数据模型的扩展和关联性,阐述模型间的本质区别,呈现模型的演变过程,从而为 人们在应用和实践时空数据模型时提供科学的指导,为模型的扩展和新模型的研究提供理论依据和参考。

关键词: 关联性, 扩展, 时空数据模型

Abstract:

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