HEAL DSpace

Multi-dimensional range query processing with spatial relations

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dc.contributor.author Papadias, D en
dc.contributor.author Theodoridis, Y en
dc.contributor.author Stefanakis, E en
dc.date.accessioned 2014-03-01T01:13:12Z
dc.date.available 2014-03-01T01:13:12Z
dc.date.issued 1997 en
dc.identifier.issn 10692665 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/12358
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-0242329136&partnerID=40&md5=df61ac341fa87ca7e093fafd6e6e7a43 en
dc.subject Query processing en
dc.subject Spatial data structures en
dc.subject Spatial relations en
dc.title Multi-dimensional range query processing with spatial relations en
heal.type journalArticle en
heal.publicationDate 1997 en
heal.abstract The processing of multi-dimensional range queries involving spatial relations arises in many application areas including Spatial Databases and GISs. In this paper we show how a variety of three- or four-dimensional queries that correspond to different relations can be processed using spatial data structures. We provide analytical formulas that describe the expected cost of retrieval and test the accuracy of the formulas through extensive experimentation. We also propose alternative methods aimed at the efficient processing of certain queries. The paper concludes by discussing the most suitable data structure for each type of query taking into account the properties of the data. © 1997 OPA (Overseas Publishers Association) Amsterdam B. V. Published under license in The Netherlands under the Gordon and Breach Science Publishers imprint. en
heal.journalName Geographical Systems en
dc.identifier.volume 4 en
dc.identifier.issue 4 en
dc.identifier.spage 343 en
dc.identifier.epage 365 en


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