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| Title | Variable Interactions in Query Driven Visualization
(In Proceedings) |
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| in | IEEE Transactions on Visualization and Computer Graphics (Proceedings Visualization / Information Visualization 2007) |
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| Author(s) |
Luke Gosink, John C. Anderson, Wes Bethel, Ken Joy |
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| Year |
November 2007
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| Location | Sacramento, CA |
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| Date | October 28 - November 1, 2007 |
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| Volume | 13 |
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| Number | 6 |
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| Pages | 1400--1407 |
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| Download |  |
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| Abstract |
Our capability to generate increasingly large and more
complex datasets has established the need for scalable methods that
can provide insight into important variable trends.
Query-driven methods are among the small subset of
techniques that are able to address both large and highly complex
data sets. This paper presents a new method in which coherent and
meaningful visualizations are constructed to convey relational
information about the trends that exist \emph{between} variables in
a query. Correlation fields are created between pairs of variables
and used in conjunction with the cumulative distribution function of
each of the query's variables to reveal, both visually and
statistically, trends in variable behavior and interactions. We
illustrate our concepts by discussing interactions between variables
in two flame-front simulations.
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| Note |
In Proceedings of IEEE Visualization Conference, 2007
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