一种集成的时空数据模型

An Integrated Spatio-Temporal Data Model

时态GIS作为GIS理论和技术研究前沿领域的一个难点问题,越来越被重视,其时空数据模型的设计和实现一直是研究重点。针对现有时空数据模型研究存在的不足,提出了一种集成的时空数据模型。该模型的集成性主要表现在5个方面:静态和时态的集成;矢量和栅格的集成;拓扑和非拓扑的集成;几何和属性的集成;离散和连续的集成。最后,设计和开发了相应的原型系统,并以图斑数据、车辆轨迹数据以及气象卫星云图为例验证了模型的合理性和可行性。

As a difficult problem in theory and technique of GIS, temporal GIS gets more and more attention, and the study emphasizes on the design and implementation of spatio-temporal data model. Aiming at some issues of spatio-temporal data model, an integrated spatio-temporat data model was proposed. There were five kinds of integration, which included the integration of static state and temporal state, the integration of vector data and raster data, the integration of topological data and non-topological data, the integration of geometry data and attributive data, and the integration of discrete change and continuous change. Finally, the model was applied in our own experiment system, and some experimental were done with patch data, vehicle track data, and cloud image of meteorological satellite. The results showed that the proposed model was reasonable and feasible.