Analyzing Range Queries on Spatial Data

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Analyzing Range Queries on Spatial Data
Analysis of range queries on spatial (multidimensional) data is both important and challenging. Most previous analysis attempts have made certain simplifying assumptions about the datasets and/or queries to keep the analysis tractable. As a result, they may not be universally applicable. This paper proposes a set of five analysis techniques to estimate the selectivity and number of index nodes accessed in serving a range query. The underlying philosophy behind these techniques is to maintain an auxiliary data structure called a density file, whose creation is a onetime cost, which can be quickly consulted when the query is given. The schemes differ in what information is kept in the density file, how it is maintained, and how this information is looked up. It is shown that one of the proposed schemes, called Cumulative Density (CD), gives very accurate results (usually less than 5% error) using a diverse suite of point and rectangular datasets, that are uniform or skewed, and a wide r...
Ji Jin, Ning An, Anand Sivasubramaniam
Added 01 Nov 2009
Updated 01 Nov 2009
Type Conference
Year 2000
Where ICDE
Authors Ji Jin, Ning An, Anand Sivasubramaniam
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