A rule-based tool for assisting colormap selection
VIS '95 Proceedings of the 6th conference on Visualization '95
Spline-based color sequences for univariate, bivariate and trivariate mapping
VIS '90 Proceedings of the 1st conference on Visualization '90
Designing Better Maps: A Guide for Gis Users
Designing Better Maps: A Guide for Gis Users
Visualizing Business Data with Generalized Treemaps
IEEE Transactions on Visualization and Computer Graphics
Rainbow Color Map (Still) Considered Harmful
IEEE Computer Graphics and Applications
The Generation of Color Sequences for Univariate and Bivariate Mapping
IEEE Computer Graphics and Applications
Interactive Color Palette Tools
IEEE Computer Graphics and Applications
Magic marker: a color analytics interface for image annotation
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Harmonic colormaps for volume visualization
SPBG'08 Proceedings of the Fifth Eurographics / IEEE VGTC conference on Point-Based Graphics
Space-in-time and time-in-space self-organizing maps for exploring spatiotemporal patterns
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Evaluation of the visibility of vessel movement features in trajectory visualizations
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Do background colors improve program comprehension in the #ifdef hell?
Empirical Software Engineering
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Color is widely used in data visualization to show data values. The proper selection of colors is critical to convey information correctly. In this paper, we present a technique for generating univariate lightness ordered palettes. These are specified via intuitive input parameters that are used define the appearance of the palette: number of colors, hue, lightness, saturation, contrast and hue range. The settings of the parameters are used to generate curves through CIELUV color space. This color space is used in order to correctly translate the requirements in terms of perceptual properties to a set of colors. The presented palette generation method enables users to specify palettes that have these perceptual properties, such as perceived order, equal perceived distance and equal importance. The technique has been integrated in MagnaView, a system for multivariate data visualization.