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Title:
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TOWARDS THE VISUALIZATION OF MULTI- DIMENSIONAL STOCHASTIC DISTRIBUTION DATA |
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Author(s):
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Kristin Potter , Jens Krüger , Christopher Johnson |
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ISBN:
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978-972-8924-63-8 |
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Editors:
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Yingcai Xiao and Eleonore ten Thij |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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Uncertainty, sensitivity analysis, probability density function. |
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Type:
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Short Paper |
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First Page:
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191 |
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Last Page:
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196 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Uncertainty information is an important characteristic associated with much of the data scientists encounter. While such
uncertainty information is often available, incorporating uncertainty into visualization techniques has proved challenging.
This paper presents novel visualization approaches for a class of uncertainty data that is generated from the sensitivity
analysis of electrical conductivity within a model of bioelectric fields from the heart. The data can be characterized as a
set of probability density functions (PDFs) defined across a triangular mesh; however, we are also interested in the
relationship between input and output parameters of the sensitivity analysis. This increases the complexity of the data set
and motivates a visualization approach that provides for exploration of the data set. |
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