| dc.contributor.author | Eisemann, Martin | en_US |
| dc.contributor.author | Albuquerque, Georgia | en_US |
| dc.contributor.author | Magnor, Marcus | en_US |
| dc.contributor.editor | Silvia Miksch and Giuseppe Santucci | en_US |
| dc.date.accessioned | 2014-01-27T15:55:54Z | |
| dc.date.available | 2014-01-27T15:55:54Z | |
| dc.date.issued | 2011 | en_US |
| dc.identifier.isbn | 978-3-905673-82-1 | en_US |
| dc.identifier.uri | http://dx.doi.org/10.2312/PE/EuroVAST/EuroVA11/005-008 | en_US |
| dc.description.abstract | 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. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | Categories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Picture/Image Generation-Line and curve generation | en_US |
| dc.title | Data Driven Color Mapping | en_US |
| dc.description.seriesinformation | EuroVA 2011: International Workshop on Visual Analytics | en_US |
