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...
Gespeichert in:
| Hauptverfasser: | , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
2021
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| In: |
IEEE transactions on visualization and computer graphics
Year: 2020, Jahrgang: 27, Heft: 2, Pages: 1819-1828 |
| ISSN: | 1941-0506 |
| DOI: | 10.1109/tvcg.2020.3030466 |
| Online-Zugang: | Resolving-System: https://doi.org/10.1109/tvcg.2020.3030466
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| Verfasserangaben: | Boyan Zheng and Filip Sadlo |
| Zusammenfassung: | 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. |
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| Beschreibung: | Date of publication: 13 October 2020 Gesehen am 04.05.2021 |
| Beschreibung: | Online Resource |
| ISSN: | 1941-0506 |
| DOI: | 10.1109/tvcg.2020.3030466 |