土地利用动态监测中的时空数据模型研究

针对传统GIS数据模型存在的问题,开展了基于特征的时空数据模型研究.结合我国土地利用动态监测,提出了一个新的时空数据模型-基于变化特征状态的时空数据模型(SCFSTDM),该模型保持了地理现象的完整性,地理信息的完备性以及时空专题信息的有机集成,模型有利于面向目标定向分析方法的应用和时空分析与推理的实现,有利于地理数据的共享,设计和开发了基于SCFSTDM的时态土地利用信息系统,实现了基于特征实例的时空复合查询,时空推理以及动态播放等功能.

Spatio-Temporal Data Model for Landuse Monitoring

Traditional data model takes the geometric object as the modeling target and results directly in decomposing geographic phenomena into a series of objects. Furthermore, the temporal data and spatial data are stored separately. All of those restrict the development of GIS and resources monitoring. Feature based spatio temporal data model can support the next generation of GIS effectively. In this paper, based on the landuse monitoing research project of the five year plan of our country, we propose a new spatio temporal data model based on the states of the changing feature (SCFSTDM) in order to serve for integrating geographic phenomena and geographic information as well as applying object oriented analysis method to support spatio temporal analysis , simulation and data sharing. Finally, we develop a prototype of the temporal landuse information system in which there is a spatio temporal database based on the feature. With this system ,we can query states of the feature instance directly, for example, to query the states and to play the developing process of a feature instance, to make the spatio temporal reasoning.