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dc.contributor.authorGebauer, Eikeen_US
dc.contributor.authorLinsen, Larsen_US
dc.contributor.editorKosara, Robert and Lawonn, Kai and Linsen, Lars and Smit, Noeskaen_US
dc.date.accessioned2019-06-02T18:16:16Z
dc.date.available2019-06-02T18:16:16Z
dc.date.issued2019
dc.identifier.isbn978-3-03868-091-8
dc.identifier.urihttps://doi.org/10.2312/trvis.20191184
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/trvis20191184
dc.description.abstractThe aim of uncertainty-aware scalar field visualization is to convey the most likely case, but also the uncertainty associated with it. In scientific simulations, uncertainty can be modeled using an ensemble approach. Statistics are then drawn from the ensemble outcome to compute the most likely case and its uncertainty. However, the statistical distributions do not necessarily need to be uni-modal. We present an approach to visualize uncertain 2D scalar fields that extends existing uni-modal distributions based on colored heightfields and 2D glyphs to multi-modal ones. We compare the approaches by conducting user experiments for both the uni- and multi-modal case.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleUni- and Multi-modal Uncertainty Visualization in 2D Scalar Field Ensemblesen_US
dc.description.seriesinformationEuroVis Workshop on Trustworthy Visualization (TrustVis)
dc.description.sectionheadersPapers
dc.identifier.doi10.2312/trvis.20191184
dc.identifier.pages7-11


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