[1]熊才权 马乐乐 孙贤斌.空间索引技术研究[J].计算机技术与发展,2010,(10):219-223.
　XIONG Cai-quan,MA Le-le,SUN Xian-bin.Research on the Technology of Spatial Index[J].,2010,(10):219-223.
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空间索引技术研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2010年10期
页码:
219-223
栏目:
应用开发研究
出版日期:
1900-01-01

文章信息/Info

Title:
Research on the Technology of Spatial Index
文章编号:
1673-629X（2010）10-0219-05
作者:
熊才权1 马乐乐1 孙贤斌2
[1]湖北工业大学计算机学院[2]湖北工业大学土木工程与建筑学院
Author(s):
XIONG Cai-quan; MA Le-le; SUN Xian-bin
[1]School of Computer,Hubei University of Technology[2]School of Civil Engineering and Architecture,Hubei University of Technology
关键词:
空间数据; R-tree; 空间索引; 高维索引; 时空索引
Keywords:
spatial data;  R-tree;  spatial index;  high dimensional index;  spatiotemporal index
分类号:
TP311
文献标志码:
A
摘要:
空间索引可以提高空间数据库的操作效率,目前人们的研究工作更多地集中在空间数据的多维索引的研究上。文中全面地总结了当前空间数据库领域中空间索引以及时空索引的研究进展,描述了R树系列索引的构建思想,节点插入与分裂操作的不同。通过实验深入分析了R树以及R树变体的磁盘访问率,插入,删除,更新的CPU时间,验证了在数据激增的情况下,R树系列索引的复杂性带来的重叠问题会指数递增。由于R树当前应用的深度和广度,研究基于R树的高效时空高维索引技术是解决索引应用问题一个有效方法。提出了索引性能改进的方向在于多种索引技术的结
Abstract:
Spatial index can improve operational efficiency of the spatial database.Research is now more focused on the multi-dimensional spatial data research on the index.In this paper,a comprehensive summary of the current field of spatial database research space indexed and spatiotemporal index by a number of experimental pop-depth analysis of the index structure,describes the construction thinking,node insertion and split operation of the R tree index series,through experiments in-depth analysis the CPU time which the R tree and R tree variants＇s disk access,insert,delete,update.Verify the case of surge in the data,R tree family index of overlap caused by the complexity of the problem exponentially.As the R tree depth and breadth of the current application,it is an effective way to solve application problems of index that research on the efficient tree-based on R tree high dimensional space-time techniques.Finally proposed to improve the performance of the direction of the index is a combination of a variety of indexing techniques,in particular,the index tree structure network structure and the combination of the index

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备注/Memo

备注/Memo:
湖北省自然科技基金（2007ABA025）熊才权（1966-）,男,湖北鄂州人,博士,教授,研究领域为人工智能、数据挖掘、空间数据库
更新日期/Last Update: 1900-01-01