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Visualising hidden spatiotemporal patterns at multiple levels of detail

2018-12-06Conference object Open access
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dc.contributor.authorSilva, Ricardo Almeida
dc.contributor.authorMoura Pires, João
dc.contributor.authorDatia, Nuno
dc.contributor.authorSantos, Maribel Yasmina
dc.contributor.authorMartins, Bruno
dc.contributor.authorBirra, Fernando
dc.date.accessioned2019-04-16T08:27:36Z
dc.date.available2019-04-16T08:27:36Z
dc.date.issued2018-12-06
dc.description.abstractCrimes, forest fires, accidents, infectious diseases, human interactions with mobile devices (e.g., tweets) are being logged as spatiotemporal events. For each event, its geographic location, time and related attributes are known with high levels of detail (LoDs). The LoD plays a crucial role when analyzing data, enhancing the user's perception of phenomena. From one LoD to another, some patterns can be easily perceived or different patterns may be detected. Modeling phenomena at different LoDs is needed, as there is no exclusive LoD at which data can be analyzed. Current practices work mainly on a single LoD, driven by the analysts perception, ignoring the fact that the identification of the suitable LoDs is a key issue for pointing relevant patterns. This paper presents a Visual Analytics approach called VAST, that allows users to simultaneously inspect a phenomenon at different LoDs, helping them to see in what LoDs patterns emerge or in what LoDs the perception of the phenomenon is different. In this way, the analysis of vast amounts of spatiotemporal events is assisted, guiding the user in this process. The use of several synthetic and real datasets allowed the evaluation of VAST, which was able to suggest LoDs with different interesting spatiotemporal patterns and the type of expected patterns.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSILVA, Ricardo Almeida; [et al] – Visualising hidden spatiotemporal patterns at multiple levels of detail. In 2018 22nd International Conference Information Visualisation (IV). Fisciano, Italy: IEEE, 2018. ISBN 978-1-5386-7202-0. Pp. 294-302pt_PT
dc.identifier.doi10.1109/iV.2018.00057pt_PT
dc.identifier.isbn978-1-5386-7202-0
dc.identifier.isbn978-1-5386-7203-7
dc.identifier.issn2375-0138
dc.identifier.issn1550-6037
dc.identifier.urihttp://hdl.handle.net/10400.21/9868
dc.language.isoengpt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.relationCOMPETE: POCI010145-FEDER007043 (ALGORITMI)pt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8564175pt_PT
dc.subjectData visualisationpt_PT
dc.subjectSpatiotemporal patternspt_PT
dc.subjectMultiple levels of detailpt_PT
dc.subjectVisual analyticspt_PT
dc.titleVisualising hidden spatiotemporal patterns at multiple levels of detailpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FCEC%2F04516%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FCEC%2F00319%2F2013/PT
oaire.citation.conferencePlace10-13 July 2018 - Fisciano, Italypt_PT
oaire.citation.endPage302pt_PT
oaire.citation.startPage294pt_PT
oaire.citation.title22nd International Conference Information Visualisation (IV)pt_PT
oaire.fundingStream5876
oaire.fundingStream5876
person.familyNameSilva
person.familyNameMoura Pires
person.familyNameDatia
person.familyNameSantos
person.familyNameBirra
person.givenNameRicardo Almeida
person.givenNameJoão
person.givenNameNuno
person.givenNameMaribel Yasmina
person.givenNameFernando
person.identifier2587159
person.identifier.ciencia-idB71B-453A-0176
person.identifier.ciencia-id071F-5CBD-5D83
person.identifier.ciencia-id3212-54CD-F759
person.identifier.ciencia-id5913-8494-636D
person.identifier.orcid0000-0001-5187-8604
person.identifier.orcid0000-0001-9933-936X
person.identifier.orcid0000-0003-1600-0227
person.identifier.orcid0000-0002-3249-6229
person.identifier.orcid0000-0002-4232-5079
person.identifier.ridD-5450-2013
person.identifier.ridR-7957-2016
person.identifier.ridM-5214-2013
person.identifier.ridC-8253-2016
person.identifier.scopus-author-id55925917200
person.identifier.scopus-author-id56026178000
person.identifier.scopus-author-id8407376200
person.identifier.scopus-author-id24512124500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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