Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/9744
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGomez, Leticia-
dc.contributor.authorKUIJPERS, Bart-
dc.contributor.authorMOELANS, Bart-
dc.contributor.authorVAISMAN, Alejandro-
dc.date.accessioned2009-07-31T13:48:39Z-
dc.date.issued2009-
dc.identifier.citationInternational Journal of Data Warehousing and Mining, 5(3). p. 28-55-
dc.identifier.issn1548-3924-
dc.identifier.urihttp://hdl.handle.net/1942/9744-
dc.description.abstractGeographic Information Systems (GIS) have been extensively used in various application domains, ranging from economical, ecological and demographic analysis, to city and route planning. Nowadays, organizations need sophisticated GIS-based Decision Support System (DSS) to analyze their data with respect to geographic information, represented not only as attribute data, but also in maps. Thus, vendors are increasingly integrating their products, leading to the concept of SOLAP (Spatial OLAP). Also, in the last years, and motivated by the explosive growth in the use of PDA devices, the field of moving object data has been receiving attention from the GIS community. However, not much has been done in providing moving object databases with OLAP functionality. In the first part of this article we survey the SOLAP literature. We then move to Spatio-Temporal OLAP, in particular addressing the problem of trajectory analysis. We finally provide an in-depth comparative analysis between two proposals introduced in the context of the GeoPKDD EU project: the Hermes-MDC system, and Piet, a proposal for SOLAP and moving objects, developed at the University of Buenos Aires, Argentina.-
dc.language.isoen-
dc.publisherIGI Global-
dc.subject.otherSpatio-Temporal Data Warehousing-
dc.titleA Survey of Spatio-Temporal Data Warehousing-
dc.typeJournal Contribution-
dc.identifier.epage55-
dc.identifier.issue3-
dc.identifier.spage28-
dc.identifier.volume5-
local.bibliographicCitation.jcatA1-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.isi000268479600002-
dc.identifier.urlhttp://www.igi-global.com/articles/details.asp?ID=34958-
item.fulltextNo Fulltext-
item.contributorGomez, Leticia-
item.contributorKUIJPERS, Bart-
item.contributorMOELANS, Bart-
item.contributorVAISMAN, Alejandro-
item.fullcitationGomez, Leticia; KUIJPERS, Bart; MOELANS, Bart & VAISMAN, Alejandro (2009) A Survey of Spatio-Temporal Data Warehousing. In: International Journal of Data Warehousing and Mining, 5(3). p. 28-55.-
item.accessRightsClosed Access-
item.validationecoom 2010-
crisitem.journal.issn1548-3924-
crisitem.journal.eissn1548-3932-
Appears in Collections:Research publications
Show simple item record

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.