基于动态基态方法的基态修正时空数据模型

Base state with amendments spatio-temporal data model based on dynamic base state method

本文在分析现有时空数据基态修正模型的基础上,提出一种基于动态基态的时空数据基态修正方法,引入了动态基态数据与动态数据存储区域的概念。解决了重复检索历史数据以及对时间段的检索效率低下的问题,具有基态数据占用空间较小,数据检索速度快的特点,且当历史年代久远时,存储空间最小。

Based on the analysis of existed base state with amendments spatio-temporal data model, a method of base state with Amendments based on dynamic base state is proposed in this paper. The conception of dynamic base state and dynamic base state storage space are introduced too. Comparing with existed methods, it solved the inefficient problem of repeated inquirer and period of time inquirer. It can save storage space of base state with high speed of data inquirer especially in long history.