时空一体化的海量数据管理及相应的时序分析能力是新一代GIS软件体系的重要研究目标之一。

Integrative management of massive spatiotemporal data and the relevant capabilities for time series analysis are important research targets of new generation GIS software architecture.

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由于其海量和非结构化等特征，实体对象层次模型、群集多服务器体系被提出用以集成并实施高效的空间数据管理。

Because it's massive and unstructured, Feature-Oriented Object Level (FOOL) and Multi-servers cluster system are used to integrate and manage spatial data effectively.

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空间数据管理网格将物理分布的空间数据在逻辑上组成一个超大虚拟的空间数据库，实现全国乃至全球的海量空间数据的管理。

Spatial data managing grid can integrate all distributed data into a super-large, virtual spatial DB, it can realize to manage magnanimity spatial data of the whole country or global.

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