Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/36718

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dc.contributor.authorSilva, Ricardopor
dc.contributor.authorPires, João Mourapor
dc.contributor.authorSantos, Maribel Yasminapor
dc.contributor.authorLeal, Ruipor
dc.date.accessioned2015-09-01T14:27:48Z-
dc.date.available2015-09-01T14:27:48Z-
dc.date.issued2015-06-
dc.identifier.citationSilva, Ricardo, João Moura Pires, Maribel Yasmina Santos and Rui Leal, “Aggregating Spatio-temporal Phenomena at Multiple Levels of Detail”, F. Bação et al. (eds.), Geographic Information Science as an Enabler of Smarter Cities and Communities, Proceedings of the 18th AGILE International Conference in Geographic Information Science, Lectures Notes in Geoinformation and Cartography, Springer-Verlag, 2015, June 09-12, Lisboa, Portugal, pp. 291-308, ISBN: 978-3-319-16786-2.por
dc.identifier.isbn978-3-319-16786-2-
dc.identifier.issn1863-2246por
dc.identifier.urihttp://hdl.handle.net/1822/36718-
dc.description.abstractSpatio-temporal data are collected at high levels of detail (LoDs). Both spatial and temporal characteristics of data can be expressed at different LoDs. Depending on the phenomenon and the analytical goal, different LoDs can be suitable for a user’s analysis since different LoDs may provide different percep- tions of a phenomenon. It is crucial to model spatio-temporal phenomena having in mind that different LoDs can be useful in their analyses. We propose a granu- larities-based model in order to model spatio-temporal phenomena at multiple LoDs. It defines the concept of LoD and afterwards the atom generalization, gran- ular synthesis and compressed granular syntheses set concepts to express a phe- nomenon at some LoD into a coarser one. This occurs in a semi-automatic way as the user just needs to define functions that create the compressed granular synthe- ses sets. A demonstration case was conducted applied to a real dataset about acci- dents in USA in which the model proposed proved to be useful to reduce the amount and complexity of data when the phenomenon is observed at coarser LoDs than the ones at which data is provided.por
dc.description.sponsorshipThis work was supported by FCT – Fundação para a Ciência e Tecnologia, within the Project Scope: UID/CEC/00319/2013.por
dc.language.isoengpor
dc.publisherSpringer Verlagpor
dc.relationUID/CEC/00319/2013por
dc.rightsrestrictedAccesspor
dc.subjectGranularitypor
dc.subjectSpatio-temporal datapor
dc.subjectMultiple levels of detailpor
dc.titleAggregating spatio-temporal phenomena at multiple levels of detailpor
dc.typeconferencePaperpor
dc.peerreviewedyespor
sdum.publicationstatuspublishedpor
oaire.citationStartPage291por
oaire.citationEndPage308por
oaire.citationConferencePlaceLisboapor
oaire.citationTitleThe 18th AGILE International Conference in Geographic Information Sciencepor
oaire.citationVolume217por
dc.identifier.doi10.1007/978-3-319-16787-9_17-
dc.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologiaspor
dc.subject.wosScience & Technologypor
sdum.journalLecture Notes in Geoinformation and Cartographypor
sdum.conferencePublicationThe 18th AGILE International Conference in Geographic Information Sciencepor
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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