SG '08 Proceedings of the 9th international symposium on Smart Graphics
Data Vases: 2D and 3D Plots for Visualizing Multiple Time Series
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Tangible views for information visualization
ACM International Conference on Interactive Tabletops and Surfaces
Technical Section: Using color in visualization: A survey
Computers and Graphics
Supporting display scalability by redundant mapping
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
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Color coding is a widely used visualization method for scalar data. To generate expressive and effective visual representations, it is extremely important to carefully design the mapping from data to color. In this paper, we describe a color coding approach that accounts for the different tasks users might pursue when analyzing data. Our task description is based on the task model of Andrienko & Andrienko. We apply different color scales and introduce strategies to adapt the color mapping function to support tasks like comparison, localization, or identification of data values.