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首页> 外文期刊>International Journal on Computer Science and Engineering >Index Structure for the Multi-scale Representation of Multi-dimensional Spatial Data in WebGIS
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Index Structure for the Multi-scale Representation of Multi-dimensional Spatial Data in WebGIS

机译:WebGIS中多维空间数据的多尺度表示的索引结构

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To solve the problem that existing data structure cannot support the multi-scale representation of multi-dimensional spatial data in Web Geographic Information System (WebGIS), a modified data structure has been put forward: (1) getting the main tree from the deformation of the index structure of region quadtree partitioned on the basis of the rule of pyramid structure; (2) possessing the sub-tree structure supporting the overlap of multi-dimensional spatial data; (3)reflecting the changes in spatial resolution using the depth of the tree; (4)all the nodes of the tree are the container of spatial objects. The necessity of generating the index is analyzed which is described. The algorithm for data generation of index structure, the support to the multi-dimensional data and the query process is discussed. For the same data source, some comparative experiments are provided using this structure and layer, and the result shows that this index method can represent and search massive multi-dimensional spatial data effectively in WebGIS. The structure has been used in Shanghai multi-dimensional WebGIS system.
机译:为了解决现有的数据结构无法支持Web地理信息系统(WebGIS)中多维空间数据的多尺度表示的问题,提出了一种改进的数据结构:(1)从树的变形中获取主树。根据金字塔结构的规则划分区域四叉树的索引结构; (2)具有支持多维空间数据重叠的子树结构; (3)利用树的深度反映空间分辨率的变化; (4)树的所有节点都是空间对象的容器。分析了生成索引的必要性,对此进行了描述。讨论了索引结构的数据生成算法,对多维数据的支持以及查询过程。对于相同的数据源,使用该结构和层进行了一些比较实验,结果表明该索引方法可以有效地表示和搜索WebGIS中的大量多维空间数据。该结构已在上海多维WebGIS系统中使用。

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