Direction relations and two-dimensional range queries: Optimisation techniques

Theodoridis, Y; Papadias, D; Stefanakis, E; Sellis, T

dc.contributor.author	Theodoridis, Y	en
dc.contributor.author	Papadias, D	en
dc.contributor.author	Stefanakis, E	en
dc.contributor.author	Sellis, T	en
dc.date.accessioned	2014-03-01T01:13:41Z
dc.date.available	2014-03-01T01:13:41Z
dc.date.issued	1998	en
dc.identifier.issn	0169-023X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/12661
dc.subject	Direction relations	en
dc.subject	Indexing methods	en
dc.subject	Performance analysis	en
dc.subject	Spatial databases	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Computer Science, Information Systems	en
dc.subject.other	SPATIAL RELATIONS	en
dc.subject.other	EXAMPLE	en
dc.title	Direction relations and two-dimensional range queries: Optimisation techniques	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0169-023X(97)00060-8	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0169-023X(97)00060-8	en
heal.language	English	en
heal.publicationDate	1998	en
heal.abstract	This paper defines direction relations (e.g., north, northeast) between two-dimensional objects and shows how they can be efficiently retrieved using B-, KDB- and R- tree-based data structures. Essentially, our work studies optimisation techniques for 2D range queries that arise during the processing of direction relations. We test the efficiency of alternative indexing methods through extensive experimentation and present analytical models that estimate their performance. The analytical estimates are shown to be very close to the actual results and can be used by spatial query optimizers in order to predict the retrieval cost. In addition, we implement modifications of the existing structures that yield better performance for certain queries. We conclude the paper by discussing the most suitable method depending on the type of the range and the properties of the data. (C) 1998 Published by Elsevier Science B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Data and Knowledge Engineering	en
dc.identifier.doi	10.1016/S0169-023X(97)00060-8	en
dc.identifier.isi	ISI:000075809300003	en
dc.identifier.volume	27	en
dc.identifier.issue	3	en
dc.identifier.spage	313	en
dc.identifier.epage	336	en