Analysis of object oriented spatial access methods
- 1 December 1987
- journal article
- Published by Association for Computing Machinery (ACM) in ACM SIGMOD Record
- Vol. 16 (3) , 426-439
- https://doi.org/10.1145/38714.38758
Abstract
This paper provides an analysis of R-trees and a variation (R + -trees) that avoids overlapping rectangles in intermediate nodes of the tree. The main contributions of the paper are the following. We provide the first known analysis of R-trees. Although formulas are given for objects in one dimension (line segments), they can be generalized for objects in higher dimensions as well. We show how the transformation of objects to higher dimensions [HINR83] can be effectively used as a tool for the analysis of R- and R + - trees. Finally, we derive formulas for R + -trees and compare the two methods analytically. The results we obtained show that R + -trees require less than half the disk accesses required by a corresponding R-tree when searching files of real life sizes R + -trees are clearly superior in cases where there are few long segments and a lot of small ones.Keywords
This publication has 7 references indexed in Scilit:
- Spatial query processing in an object-oriented database systemPublished by Association for Computing Machinery (ACM) ,1986
- Direct spatial search on pictorial databases using packed R-treesPublished by Association for Computing Machinery (ACM) ,1985
- The Quadtree and Related Hierarchical Data StructuresACM Computing Surveys, 1984
- The Grid FileACM Transactions on Database Systems, 1984
- R-treesPublished by Association for Computing Machinery (ACM) ,1984
- The K-D-B-treePublished by Association for Computing Machinery (ACM) ,1981
- Multidimensional binary search trees used for associative searchingCommunications of the ACM, 1975