Modality-Driven Classification and Visualization of Ensemble Variance

Modality-Driven Classification and Visualization of Ensemble Variance

Paper for the IEEE Visualization Conference Advances in computational power now enable domain scientists to address conceptual and parametric uncertainty by running simulations multiple times in order to sufficiently sample the uncertain input space.

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Bibliographic Details
Published in:IEEE transactions on visualization and computer graphics Vol. 22; no. 10
Main Authors: Bensema, Kevin, Gosink, Luke, Obermaier, Harald, Joy, Kenneth I.
Format: Journal Article
Language:English
Published: United States IEEE 01-10-2016
Online Access:Get full text
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Description
Summary:Paper for the IEEE Visualization Conference Advances in computational power now enable domain scientists to address conceptual and parametric uncertainty by running simulations multiple times in order to sufficiently sample the uncertain input space.
Bibliography:USDOE
AC05-76RL01830
PNNL-SA-101839
ISSN:1077-2626
1941-0506
DOI:10.1109/TVCG.2015.2507569