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Proceedings Paper

Uncertainty visualization in the VisIt visualization environment
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Paper Abstract

Visualization and analysis of very large datasets remains a significant challenge to the visualization community. Scientists have tried various techniques to deal with large data. Multiresolution data models reduce the size of the data using techniques such as mesh decimation, wavelet transformation, or data compression. The low resolution representation raises issues concerning the authenticity of the data at its resolution level. We address this issue by presenting our extensions to the VisIt visualization environment that enable the scientist to visualize both multiresolution data and the uncertainty information associated with the lower resolution representations of the data.

Paper Details

Date Published: 20 January 2009
PDF: 11 pages
Proc. SPIE 7243, Visualization and Data Analysis 2009, 72430K (20 January 2009); doi: 10.1117/12.812380
Show Author Affiliations
Andrew Foulks, Univ. of New Hampshire (United States)
R. Daniel Bergeron, Univ. of New Hampshire (United States)


Published in SPIE Proceedings Vol. 7243:
Visualization and Data Analysis 2009
Katy Börner; Jinah Park, Editor(s)

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