Insight provenance for spatiotemporal visual analytics

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Hall, Andreas
dc.contributor.author Ahonen-Rainio, Paula
dc.contributor.author Virrantaus, Kirsi
dc.date.accessioned 2018-02-09T09:59:04Z
dc.date.available 2018-02-09T09:59:04Z
dc.date.issued 2017
dc.identifier.citation Hall , A , Ahonen-Rainio , P & Virrantaus , K 2017 , ' Insight provenance for spatiotemporal visual analytics : Theory, review, and guidelines ' Journal of Spatial Information Science , vol 15 , pp. 65-88 . DOI: 10.5311/JOSIS.2017.15.337 en
dc.identifier.issn 1948-660X
dc.identifier.other PURE UUID: 67476524-5b0f-415a-99c0-f335a1ff82d7
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/insight-provenance-for-spatiotemporal-visual-analytics(67476524-5b0f-415a-99c0-f335a1ff82d7).html
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85039542740&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/16976226/337_1013_2_PB.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/29854
dc.description.abstract Research on provenance, which focuses on different ways to describe and record the history of changes and advances made throughout an analysis process, is an integral part of visual analytics. This paper focuses on providing the provenance of insight and rationale through visualizations while emphasizing, first, that this entails a profound understanding of human cognition and reasoning and that, second, the special nature of spatiotemporal data needs to be acknowledged in this process. A recently proposed human reasoning framework for spatiotemporal analysis, and four guidelines for the creation of visualizations that provide the provenance of insight and rationale published in relation to that framework, work as a starting point for this paper. While these guidelines are quite abstract, this paper set out to create a set of more concrete guidelines. On the basis of a review of available provenance solutions, this paper identifies a set of key features that are of relevance when providing the provenance of insight and rationale and, on the basis of these features, produces a new set of complementary guidelines that are more practically oriented than the original ones. Together, these two sets of guidelines provide both a theoretical and practical approach to the problem of providing the provenance of insight and rationale. Providing these kinds of guidelines represents a new approach in provenance research. en
dc.format.extent 24
dc.format.extent 65-88
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries Journal of Spatial Information Science en
dc.relation.ispartofseries Volume 15 en
dc.rights openAccess en
dc.subject.other Information Systems en
dc.subject.other Geography, Planning and Development en
dc.subject.other Computers in Earth Sciences en
dc.subject.other 1171 Geosciences en
dc.title Insight provenance for spatiotemporal visual analytics en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Built Environment
dc.subject.keyword Cognition
dc.subject.keyword Framework
dc.subject.keyword Guidelines
dc.subject.keyword Provenance
dc.subject.keyword Reasoning
dc.subject.keyword Review
dc.subject.keyword Spatiotemporal
dc.subject.keyword Visual analytics
dc.subject.keyword Visualization
dc.subject.keyword Information Systems
dc.subject.keyword Geography, Planning and Development
dc.subject.keyword Computers in Earth Sciences
dc.subject.keyword 1171 Geosciences
dc.identifier.urn URN:NBN:fi:aalto-201802091350
dc.identifier.doi 10.5311/JOSIS.2017.15.337
dc.type.version publishedVersion


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