Uncertainty visualization : Fundamentals and recent developments

Kurzanzeige
dc.contributor.authorHägele, David
dc.contributor.authorSchulz, Christoph
dc.contributor.authorBeschle, Cedric
dc.contributor.authorBooth, Hannah
dc.contributor.authorButt, Miriam
dc.contributor.authorBarth, Andrea
dc.contributor.authorDeussen, Oliver
dc.contributor.authorWeiskopf, Daniel
dc.date.accessioned2022-09-05T09:07:44Z
dc.date.available2022-09-05T09:07:44Z
dc.date.issued2022-08-31
dc.description.abstractThis paper provides a brief overview of uncertainty visualization along with some fundamental considerations on uncertainty propagation and modeling. Starting from the visualization pipeline, we discuss how the different stages along this pipeline can be affected by uncertainty and how they can deal with this and propagate uncertainty information to subsequent processing steps. We illustrate recent advances in the field with a number of examples from a wide range of applications: uncertainty visualization of hierarchical data, multivariate time series, stochastic partial differential equations, and data from linguistic annotation.eng
dc.description.versionpublishedde
dc.identifier.doi10.1515/itit-2022-0033eng
dc.identifier.pmid36447640
dc.identifier.ppn1828115614
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/58489
dc.language.isoengeng
dc.rightsterms-of-use
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dc.subject.ddc004eng
dc.titleUncertainty visualization : Fundamentals and recent developmentseng
dc.typeJOURNAL_ARTICLEde
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kops.citation.bibtex
@article{Hagele2022-08-31Uncer-58489,
  year={2022},
  doi={10.1515/itit-2022-0033},
  title={Uncertainty visualization : Fundamentals and recent developments},
  number={4-5},
  volume={64},
  issn={1611-2776},
  journal={it - Information Technology},
  pages={121--132},
  author={Hägele, David and Schulz, Christoph and Beschle, Cedric and Booth, Hannah and Butt, Miriam and Barth, Andrea and Deussen, Oliver and Weiskopf, Daniel}
}
kops.citation.iso690HÄGELE, David, Christoph SCHULZ, Cedric BESCHLE, Hannah BOOTH, Miriam BUTT, Andrea BARTH, Oliver DEUSSEN, Daniel WEISKOPF, 2022. Uncertainty visualization : Fundamentals and recent developments. In: it - Information Technology. De Gruyter Oldenbourg. 2022, 64(4-5), pp. 121-132. ISSN 1611-2776. eISSN 2196-7032. Available under: doi: 10.1515/itit-2022-0033deu
kops.citation.iso690HÄGELE, David, Christoph SCHULZ, Cedric BESCHLE, Hannah BOOTH, Miriam BUTT, Andrea BARTH, Oliver DEUSSEN, Daniel WEISKOPF, 2022. Uncertainty visualization : Fundamentals and recent developments. In: it - Information Technology. De Gruyter Oldenbourg. 2022, 64(4-5), pp. 121-132. ISSN 1611-2776. eISSN 2196-7032. Available under: doi: 10.1515/itit-2022-0033eng
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