Multifield-Graphs: An Approach to Visualizing Correlations in Multifield Scalar 
Data

Sauber, Natascha; Theisel, Holger; Seidel, Hans-Peter

doi:10.1109/TVCG.2006.165

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会議論文

Multifield-Graphs: An Approach to Visualizing Correlations in Multifield Scalar Data

MPS-Authors

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Sauber, Natascha
Computer Graphics, MPI for Informatics, Max Planck Society;

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Theisel, Holger
Computer Graphics, MPI for Informatics, Max Planck Society;

/persons/resource/persons45449

Seidel, Hans-Peter
Computer Graphics, MPI for Informatics, Max Planck Society;

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引用

Sauber, N., Theisel, H., & Seidel, H.-P. (2006). Multifield-Graphs: An Approach to Visualizing Correlations in Multifield Scalar Data. In E., Gröller, A., Pang, C. T., Silva, J., Stasko, & J., van Wijk (Eds.), IEEE Visualization Conference 2006 (pp. 917-924). Los Alamitos, USA: IEEE.

引用: https://hdl.handle.net/11858/00-001M-0000-000F-237D-D

要旨

We present an approach to visualizing
correlations in 3D multifield scalar data.
The core of our approach is the computation of correlation fields, which are
scalar fields
containing the local correlations of
subsets of the multiple fields.
While the visualization of the correlation fields can be done using
standard 3D volume visualization techniques, their huge number makes selection
and
handling a challenge.
We introduce the Multifield-Graph to give an overview of which multiple fields
correlate and to show the strength of their correlation. This information
guides the selection of informative correlation fields for visualization.
We use our approach to visually analyze a number of real and
synthetic multifield datasets.