How not to lie with visualization
Computers in Physics
Number by colors: a guide to using color to understand technical data
Number by colors: a guide to using color to understand technical data
Color Sequences for Univariate Maps: Theory, Experiments and Principles
IEEE Computer Graphics and Applications
IEEE Computer Graphics and Applications
Field Guide to Digital Color
Information Visualization: Perception for Design
Information Visualization: Perception for Design
Designing Better Maps: A Guide for Gis Users
Designing Better Maps: A Guide for Gis Users
Representing Colors as Three Numbers
IEEE Computer Graphics and Applications
Rainbow Color Map (Still) Considered Harmful
IEEE Computer Graphics and Applications
Technical Section: Using color in visualization: A survey
Computers and Graphics
Building novel Web3D user interfaces: a case study from architecture and structural engineering
Proceedings of the 18th International Conference on 3D Web Technology
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One of the most fundamental features of scientific visualization is the process of mapping scalar values to colors. This process allows us to view scalar fields by coloring surfaces and volumes. Unfortunately, the majority of scientific visualization tools still use a color map that is famous for its ineffectiveness: the rainbow color map. This color map, which naïvely sweeps through the most saturated colors, is well known for its ability to obscure data, introduce artifacts, and confuse users. Although many alternate color maps have been proposed, none have achieved widespread adoption by the visualization community for scientific visualization. This paper explores the use of diverging color maps (sometimes also called ratio, bipolar, or double-ended color maps) for use in scientific visualization, provides a diverging color map that generally performs well in scientific visualization applications, and presents an algorithm that allows users to easily generate their own customized color maps.