郭菁, 郭薇, 胡志勇. 大型GIS空间数据库的有效索引结构QR-树[J]. 武汉大学学报 ( 信息科学版), 2003, 28(3): 306-310.
引用本文: 郭菁, 郭薇, 胡志勇. 大型GIS空间数据库的有效索引结构QR-树[J]. 武汉大学学报 ( 信息科学版), 2003, 28(3): 306-310.
GUO Jing, GUO Wei, HU Zhiyong. QR-tree:An Efficient Spatial Indexing Structure for GIS with Very Large Spatial Database[J]. Geomatics and Information Science of Wuhan University, 2003, 28(3): 306-310.
Citation: GUO Jing, GUO Wei, HU Zhiyong. QR-tree:An Efficient Spatial Indexing Structure for GIS with Very Large Spatial Database[J]. Geomatics and Information Science of Wuhan University, 2003, 28(3): 306-310.

大型GIS空间数据库的有效索引结构QR-树

QR-tree:An Efficient Spatial Indexing Structure for GIS with Very Large Spatial Database

  • 摘要: 在分析R树索引问题的基础上,提出了一种面向大型GIS空间数据库的QR树索引新方法。

     

    Abstract: Spatial indexing techniques can efficiently improve the storage and query efficiency.IN the large spatial database of GIS,the traditional spatial indexing structures,the R-tree has the problem that with the growing dimensionality and data number,the searching function will decrease greatly.On the basis of the analysis of R-tree,this paper puts forward a new spatial indexing structure for GIS with very large spatial database-the QR-tree.

     

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