Show simple item record

dc.contributor.authorPotter, Kristin
dc.contributor.authorRosen, Paul
dc.contributor.authorJohnson, Chris R.
dc.date.accessioned2016-02-25T13:19:35Z
dc.date.available2016-02-25T13:19:35Z
dc.date.issued2012
dc.identifier.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.
dc.identifier.issn1868-4238
dc.identifier.issn1861-2288
dc.identifier.pmid25663949
dc.identifier.doi10.1007/978-3-642-32677-6_15
dc.identifier.urihttp://hdl.handle.net/10754/598372
dc.description.sponsorshipThis 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.
dc.publisherSpringer Nature
dc.titleFrom Quantification to Visualization: A Taxonomy of Uncertainty Visualization Approaches
dc.typeBook Chapter
dc.identifier.journalIFIP Advances in Information and Communication Technology
dc.identifier.pmcidPMC4319674
dc.contributor.institutionUniversity of Utah, Salt Lake City, United States
kaust.grant.numberKUS-C1-016-04


This item appears in the following Collection(s)

Show simple item record