Assessment of different data modelling approaches in temporal GIS

Spatio-Temporal data models are the core of a Temporal Geographic Information System (TGIS). They define object data types, relationships, operations and rules to maintain database integrity. Rigorous data model must anticipate spatio-temporal queries and analytical methods to be performed in the TGIS. Spatio-temporal database models are intended to deal with real world applications, where spatial changes occur over the time line. A serious weakness of existing models is that each of them deals with few common characteristics found across a number of specific applications. Thus the applicability of the model to different cases, fails on spatio-temporal behaviors not anticipated by the application used for the initial model development. This paper reviews the different types of spatio-temporal data models and provides an overview of previous achievements within the domain and critically evaluates the various approaches.

کلیدواژه ها:

Spatio-temporal data ، Modeling ، GIS ، Data model ، Moving object data model