From Quantification to Visualization: A Taxonomy of Uncertainty Visualization Approaches
KAUST Grant NumberKUS-C1-016-04
Permanent link to this recordhttp://hdl.handle.net/10754/598372
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CitationPotter K, Rosen P, Johnson CR (2012) From Quantification to Visualization: A Taxonomy of Uncertainty Visualization Approaches. Uncertainty Quantification in Scientific Computing: 226–249. Available: http://dx.doi.org/10.1007/978-3-642-32677-6_15.
SponsorsThis work was supported in part by grants from theDOE SciDAC and DOE NETL, Award No. KUS-C1-016-04, made by King Ab-dullah University of Science and Technology (KAUST), and the NIH Center forIntegrative Biomedical Computing, 2P41 RR0112553-12. We would also like tothank Samuel Gerber and Mike Kirby for their valuable input.
PublisherSpringer Science + Business Media
PubMed Central IDPMC4319674
CollectionsPublications Acknowledging KAUST Support
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- A user study to compare four uncertainty visualization methods for 1D and 2D datasets.
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- A taxonomy of medical uncertainties in clinical genome sequencing.
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