Date of Original Version

3-1999

Type

Conference Proceeding

Rights Management

©1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Abstract or Description

We study the node distribution of an R-tree storing region data, like for instance islands, lakes or human-inhabited areas. We show that real region datasets are packed in minimum bounding rectangles (MBRs) whose area distribution follows the same power law, named REGAL (REGion Area Law), as that for the regions themselves. Moreover these MBRs are packed in their turn into MBRs following the same law, and so on iteratively, up to the root of the R-tree. Based on this observation, we are able to accurately estimate the search effort for range queries, the most prominent spatial operation, using a small number of easy-to-retrieve parameters. Experiments on a variety of real datasets (islands, lakes, human-inhabited areas) show that our estimation is accurate, enjoying a maximum geometric average relative error within 30%

DOI

10.1109/ICDE.1999.754979

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Published In

Data Engineering, 1999. Proceedings., 15th International Conference on , 628-635.