Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/45641

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dc.contributor.authorSilva, Ricardo Almeidapor
dc.contributor.authorPires, João Mourapor
dc.contributor.authorSantos, Maribel Yasminapor
dc.date.accessioned2017-05-17T09:47:57Z-
dc.date.issued2017-05-
dc.identifier.citationSilva R.A., Pires J.M., Santos M.Y. (2017) When Granules Are not Enough in a Theory of Granularities. In: Bregt A., Sarjakoski T., van Lammeren R., Rip F. (eds) Societal Geo-innovation. GIScience 2017. Lecture Notes in Geoinformation and Cartography. Springer, Champor
dc.identifier.isbn9783319472881por
dc.identifier.issn1863-2351por
dc.identifier.urihttp://hdl.handle.net/1822/45641-
dc.description.abstractSeveral approaches have been proposed to model spatiotemporal phenome- na at multiple LoDs, in particularly, under the granular computing research area, where a granularities-based model was proposed. Such model stands out from the related literature, but has two major limitations. On one hand, it has difficulties for describing regions, intervals of time, among others complex descriptions, and on the other hand, the generalization process is the same whether it is generalizing spatial, temporal or other features of a phenomenon. These problems reduce its applicability. To overcome such limitations, this paper extends the granularities-based model by introducing the granular term concept. We apply this concept to represent time in- stants and intervals as well as cells and raster regions. For each granular term, gener- alization rules are defined so that a phenomenon can be expressed from one LoD to a coarser one in an automatic way. Changing a phenomenon’s LoD can simplify granu- lar terms, transforming for instance a time interval into a time instant or a raster re- gion into a cell. Our contributions are shown based on a real dataset about tornadoes in the USA. The results obtained show an enhancement of application scenarios from the extended granularities-based model to its ability of providing different phenome- non's representations in each LoD, while keeping its original strengths.por
dc.description.sponsorshipThis work has been supported by FCT - Fundação para a Ciência e Tecnologia MCTES, UID/CEC/04516/2013 (NOVA LINCS) and UID/CEC/00319/2013 (ALGORITMI), and COMPETE: POCI-01-0145-FEDER-007043 (ALGORITMI).por
dc.language.isoengpor
dc.publisherSpringer Verlagpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147279/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147280/PTpor
dc.rightsrestrictedAccesspor
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/por
dc.subjectGranulepor
dc.subjectgranularitypor
dc.subjectgranular computingpor
dc.titleWhen granules are not enough in a Theory of Granularitiespor
dc.typeconferencePaperpor
dc.peerreviewedyespor
oaire.citationStartPage279por
oaire.citationEndPage296por
oaire.citationTitleLecture Notes in Geoinformation and Cartographypor
dc.identifier.doi10.1007/978-3-319-56759-4_16por
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersionpor
sdum.journalLecture Notes in Geoinformation and Cartographypor
sdum.conferencePublicationLecture Notes in Geoinformation and Cartographypor
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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