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The Application and Research of an Improved Event-based Spatio-Temporal Data Model

机译:改进的基于事件的时空数据模型的应用与研究

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By analyzing the characteristic and limitations of several typical spatio-temporal data models, the extension methods of improvement are presented for an event-based spatio-temporal data model in the paper. This model takes the current geographic state as the base, quickly recovers the spatial data of any past time. Because recording the changes of spatial objects and cause of changes, model can query spatial objects' historical data (geometric and thematic) and reason the changes of spatial objects. Separate storage and management of spatial data, thematic data and time is effective in reducing storage space and redundancy of data, improve the efficiency of query. Model can be implemented on object-relation database or extending static GIS database. An example about land subdivision is adopted to realize the data model. The instance indicates this model can quickly recover regional state, query time, space and attribute mutually.
机译:通过分析若干典型的时空数据模型的特性和限制,纸张中基于事件的时空数据模型提出了改进的扩展方法。该模型将当前的地理状态作为基础,快速恢复任何过去时间的空间数据。因为记录空间对象的变化和变化的原因,模型可以查询空间对象的历史数据(几何和专题),并且原因空间对象的变化。单独的存储和管理空间数据,主题数据和时间有效地减少存储空间和数据冗余,提高查询的效率。模型可以在对象关系数据库上实现或扩展静态GIS数据库。采用关于陆地细分的示例来实现数据模型。该实例表示此模型可以快速恢复区域状态,查询时间,空格和属性。

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