The method of spatial data organization in traditional spatial information system cannot meet the requirement of mass spatial data storage.
传统的空间数据组织方式存在严重的不足，无法满足海量空间信息的存储与处理要求。
In this paper spatial data organization structure chart of seamless GIS is advanced, the point, line, area, complex feature, DTM data and attribute merge table of block are discussed in detail.
本文给出了无缝gis空间数据组织结构图，并详细列出了图块的点、线、面、复杂要素、DTM数据以及属性拼接表的数据结构。
And then carry on deep research to Multi-source Spatial Data Translation model in semantic level and explain in detail to the definition, principle, organization of the model.
进而对基于语义异构空间数据转换模型进行了深入地研究，从模型的定义、原理、组织构成进行了详细地阐述。
Research and design the organization of multi-representation spatial database, adaptive visualization of spatial data, and realize a prototype system.
研究并设计多重表达空间数据库的组织方式和空间数据的自适应可视化，并实现一个原型系统。
Then based on the basic concepts and features of spatial data, we analyze the organization and storage of spatial data by using the object-oriented holistic GIS data model.
然后根据空间数据的基本概念和特征，利用面向对象的整体数据模型，分析了空间数据的组织方法和存储方式。
Organization of temporal attribute data and temporal treatment of spatial object are described.
文中还对模型的时态属性数据组织和空间对象的时态处理进行了描述。
Geography Mark Language (GML) is used to describe the spatial data in this paper. Then it studies on the organization, storage and management of GML data by integrating XML database technology.
本文采用地理标记语言gml来描述空间数据，并结合XML数据库技术对GML数据的组织、存储和管理等问题进行研究。
In order to research the spatial distribution law of the regional industrial structure, the self organization maps method is used to cluster and analyze the regional data in China 2003.
为了研究地区产业结构的空间分布规律，采用自组织映射的聚类方法，对2003年中国省级地区的产业结构进行了聚类分析。
This paper proposes a new concept which is called virtual map on the basis of structure analysis and organization of spatial data.
本文在分析现有空间数据的组织、管理方法的基础上提出虚拟图幅的概念，并详细介绍了基于此对空间数据的组织方法。
This paper proposes a new concept which is called virtual map on the basis of structure analysis and organization of spatial data.
本文在分析现有空间数据的组织、管理方法的基础上提出虚拟图幅的概念，并详细介绍了基于此对空间数据的组织方法。
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