Fundamental query processing techniques

0Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this chapter, we present the basic techniques for processing spatial queries with R-trees. This includes methods for range and topological queries (which find data that satisfy a query region, along with their topological relations with respect to this region), nearest-neighbor queries (which find data closest to a query point), and spatial join queries (which find pairs of data that satisfy a condition, e.g., “determine all hotels that are placed near a square”). For each query type we present all the techniques and their variations that have been proposed in related research. Since the usefulness of the aforementioned query types is significant, several more complex extensions have been proposed. However, in this chapter we focus on the fundamental techniques and leave the examination of the more complex extensions for the next chapter.

Cite

CITATION STYLE

APA

Fundamental query processing techniques. (2006). In Advanced Information and Knowledge Processing (Vol. 20, pp. 51–68). Springer-Verlag London Ltd. https://doi.org/10.1007/978-1-84628-293-5_4

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free