Uncertainty in Continuous Scatterplots, Continuous Parallel Coordinates, and Fibers

In this paper, we introduce uncertainty to continuous scatterplots and continuous parallel coordinates. We derive respective models, validate them with sampling-based brute-force schemes, and present acceleration strategies for their computation. At the same time, we show that our approach lends its...

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Détails bibliographiques
Publié dans:IEEE transactions on visualization and computer graphics. - 1998. - 27(2021), 2 vom: 13. Feb., Seite 1819-1828
Auteur principal: Zheng, Boyan (Auteur)
Autres auteurs: Sadlo, Filip
Format: Article en ligne
Langue:English
Publié: 2021
Accès à la collection:IEEE transactions on visualization and computer graphics
Sujets:Journal Article
Description
Résumé:In this paper, we introduce uncertainty to continuous scatterplots and continuous parallel coordinates. We derive respective models, validate them with sampling-based brute-force schemes, and present acceleration strategies for their computation. At the same time, we show that our approach lends itself as well for introducing uncertainty into the definition of fibers in bivariate data. Finally, we demonstrate the properties and the utility of our approach using specifically designed synthetic cases and simulated data
Description:Date Revised 02.02.2021
published: Print-Electronic
Citation Status PubMed-not-MEDLINE
ISSN:1941-0506
DOI:10.1109/TVCG.2020.3030466