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Query optimization issues

Springer-Verlag London Ltd, (2006), 133-150
DOI: 10.1007/978-1-84628-293-5_8
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Abstract

Determining the best execution plan for a spatial query requires tools for measuring (more precisely, estimating) the number of (spatial) data items that are retrieved by a query as well as its cost, in terms of I/O and CPU effort. As in traditional databases, spatial query optimization tools include cost-based models, exploiting analytical formulae for selectivity and cost of a query, and histogram-based techniques.

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Query optimization issues. (2006). In Advanced Information and Knowledge Processing (Vol. 20, pp. 133–150). Springer-Verlag London Ltd. https://doi.org/10.1007/978-1-84628-293-5_8

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