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DC poleHodnotaJazyk
dc.contributor.authorJarema, Michaela
dc.contributor.authorKehrer, Johannes
dc.contributor.authorWestermann, Rüdiger
dc.contributor.editorSkala, Václav
dc.date.accessioned2016-07-25T09:01:43Z
dc.date.available2016-07-25T09:01:43Z
dc.date.issued2016
dc.identifier.citationJournal of WSCG. 2016, vol. 24, no. 1, p. 25-34.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (on-line)
dc.identifier.urihttp://wscg.zcu.cz/WSCG2016/!_2016_Journal_WSCG-No-1.pdf
dc.identifier.urihttp://hdl.handle.net/11025/21642
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectvizualizace nejistotycs
dc.subjectvektorová polecs
dc.subjectčasově proměnná datacs
dc.titleComparative visual analysis of transport variability in flow ensemblesen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedWe propose a novel approach that enables a comparative visual exploration of the transport variability in ensembles of 2D flow fields. To reveal when and where divergences in transport occur, we first present a new approach to analyze the time-varying pairwise dissimilarities of ensemble trajectories, by using Gaussian Mixture Models (GMMs) to identify the distribution modes and the Mahalanobis distance to refine the dissimilarity measures. This enables drawing enhanced spaghetti plots, by using the color of the contour of each trajectory to encode the temporal evolution of the member, and the opacity for its representativeness relative to the ensemble behavior. To also allow a global view of the transport variability across selected sub-domains, we introduce a new graphical abstraction based on the visualization of miniaturized versions of the enhanced spaghetti plots in a small-multiples layout. To achieve this, we propose a new kind of downscaling that preserves the relevant trends in the transport behavior. We have designed a user interface comprising multiple linked views to visualize simultaneously global and local transport variations, as well as how similar the transport behavior of the ensemble members is.en
dc.subject.translateduncertainity visualizationen
dc.subject.translatedvector fieldsen
dc.subject.translatedtime-varying dataen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Volume 24, Number 1 (2016)

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  1. DSpace at University of West Bohemia
  2. Publikace ZČU / UWB Publications
  3. Časopisy ZČU / UWB Journals
  4. Journal of WSCG
  5. Volume 24 (2016)
  6. Volume 24, Number 1 (2016)