Selectivity Estimation for Spatial Joins

Spatial Joins are important and time consuming operations in spatial database management systems. It is crucial to be able to accurately estimate the performance of these operations so that one can derive efficient query execution plans, and even develop/refine data structures to improve their performance. While estimation techniques for analyzing the performance of other operations, such as range queries, on spatial data has come under scrutiny, the problem of estimating selectivity for spatial joins has been little explored. The limited forays into this area have used parametric techniques, which are largely restrictive on the data sets that they can be used for since they tend to make simplifying assumptions about the nature of the datasets to be joined. Sampling and histogram based techniques, on the other hand, are much less restrictive. However, there has been no prior attempt at understanding the accuracy of sampling techniques, or developing histogram based techniques to estim...

• Type: Conference
• Year: 2001
• Where: ICDE
• Authors: Ning An, Zhen-Yu Yang, Anand Sivasubramaniam
• Keywords: Database, Histogram Based Techniques, ICDE 2001, Spatial Join Estimation, Spatial Joins