Algorithms for improving the quality of R-trees

被引:4
|
作者
Skvortsov A.V. [1 ]
机构
[1] Tomsk State University,
关键词
Experimental Modeling; Global Strategy; Subsequent Operation; Dynamic Algorithm; Spatial Indexing;
D O I
10.1023/A:1012587627086
中图分类号
学科分类号
摘要
A novel approach to operation with a structure for spatial indexing of extended objects shaped as R-trees is considered. It consists of the initial global construction of an efficient R-tree structure and the subsequent operation with it using conventional dynamic algorithms. A global strategy for constructing an R-tree reduced to a problem of dividing a set of rectangular objects into K parts with minimum mutual overlay is suggested. Base, box, and "Divide and Conquer" algorithms are suggested. The results of experimental modeling of the execution of various algorithms are discussed. ©2001 Plenum Publishing Corporation.
引用
收藏
页码:588 / 595
页数:7
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