一种基于r树的优化查询索引方法

Wei Zhang, Xing Yang, Wangping Wu, Gang Xiang
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引用次数: 12

摘要

地理信息系统的查询效率是依赖于查询算法的关键因素,而查询算法又依赖于索引结构。在R-Tree空间索引的基础上,提出了一种针对GIS最近邻查询的查询索引优化方法,设计了多维数据结构。对该结构的查询性能进行了理论分析,证明了其优越性。有效地减少了空间重叠,提高了查询效率。应用结果表明,该方法能够满足低速运行环境下的应用需求,并对查询时间有一定的可预测性约束。
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An Optimized Query Index Method Based on R-Tree
Query efficiency of geographic information system is a critical factor which depends on the query algorithm, and query algorithm is dependent on indexing structure. Based on the R-Tree spatial index, a method optimizing the query index is proposed for GIS most adjacent query and multi-dimensional data structure is designed. Query performance of the structure is analyzed theoretically and advantages are proved. The spatial overlap is effectively reduced and the query efficiency is improved. Application results show that the method can meet the application requirements with low-speed operating environment, and has a certain predictability constraints for query time.
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