摘要
首先分析比较了已有的时空数据模型的特点 ,针对其存在的不足 ,提出并讨论了一种基于地理事件时变序列的时空数据模型 ,阐述了该模型的时空语义概念和时空拓扑关系 ,并针对具体的实际应用 ,在现有成熟的GIS平台上进行扩展 。
The geographic environment that has been represented by geographic information systems (GIS) is varying continuously.But popular GIS platforms belong to static systems substantially,and cannot express the dynamic information of spatial entities well.With the increasing demand for spatial analysis functions of GIS,especially for processing capability of multi_timing spatial data,a new spatio_temporal data model for temporal GIS (T_GIS) should be created instantly.Firstly,several typical spatio_temporal data models are compared in the paper.The pro and cons of typical data models can be learned about from the table in the second section of paper.Pointed to these data models,the paper presents and discusses a spatio_temporal data model based on time_varying sequence of geographical events.Secondly,this paper discusses spatio_temporal semantic relationship and topological relationship of T_GIS.The expression of temporal information of the data model preserted the paper is different from the typical data models mentioned above.The temporal information of spatial entities is recorded with time_varying sequence of geographicalevents.In other words,the temporal and spatial information of entities is stored separately in the data model. Finally,according to the character of input and output data sets in cadastral management and land subdivision,the paper extends the functions of popular GIS platform (MapInfo Professional 6.0) in order to demonstrate the efficiency of the new data model.The method is to create two relation tables: one is Event table and the other is Object table (the format of Object table is TAB of MapInfo) in database.All events should be stored in Event table according to time sequence,and spatial entities including spatial and attribute information are recorded in Object table.Through processing the two relation tables,we can display,analyze and query simply spatio_temporal information of entities in land management.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2003年第2期202-207,共6页
Geomatics and Information Science of Wuhan University
基金
武汉大学创新基金资助项目
