Data Driven Color Mapping
In this paper we present a simple, yet effective method to map data set values of different distributions to a color map in order to reveal interesting structures. We make use of an ordering and a simple projection technique to transform the data set before color mapping. Our transformation yields convincing results for various distributions. It also removes the burden from the user to test several mappings beforehand. A simple angular interpolation technique allows to project the data values of the visualization as desired, interactively.
Author(s): | Martin Eisemann, Georgia Albuquerque, Marcus Magnor |
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Published: | May 2011 |
Type: | Article in conference proceedings |
Book: | Proc. EuroVA: International Workshop on Visual Analytics |
Presented at: | EuroVA: International Workshop on Visual Analytics |
Project(s): | Scalable Visual Analytics |
@inproceedings{Eisemann11DDC, title = {Data Driven Color Mapping}, author = {Eisemann, Martin and Albuquerque, Georgia and Magnor, Marcus}, booktitle = {Proc. Euro{VA}: International Workshop on Visual Analytics}, pages = {1--4}, month = {May}, year = {2011} }
Authors
Martin Eisemann
DirectorGeorgia Albuquerque
Fmr. Senior ResearcherMarcus Magnor
Director, Chair