Multifield-Graphs

paper abstract
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.