In this article, we reiterate the characteristics that make the rainbow color map a poor choice,
provide examples that clearly illustrate these deficiencies even on simple data sets, and …

Colormaps are a vital method for users to gain insights into data in a visualization. With a
good choice of colormaps, users are able to acquire information in the data more effectively …

Learn How to Design Effective Visualization SystemsVisualization Analysis and Design
provides a systematic, comprehensive framework for thinking about visualization in terms of …

Today's geodynamic models can, often do and sometimes have to become very complex.
Their underlying, increasingly elaborate numerical codes produce a growing amount of raw …

Many colour maps provided by vendors have highly uneven perceptual contrast over their
range. It is not uncommon for colour maps to have perceptual flat spots that can hide a …

Color mapping is an important technique used in visualization to build visual
representations of data and information. With output devices such as computer displays …

To interpret data visualizations, people must determine how visual features map onto
concepts. For example, to interpret colormaps, people must determine how dimensions of …

An essential goal of quantitative color encoding is the accurate mapping of perceptual
dimensions of color to the logical structure of data. Prior research identifies weaknesses …

Heart disease is the number one killer in the United States, and finding indicators of the
disease at an early stage is critical for treatment and prevention. In this paper we evaluate …

Infowhelm: Environmental Art and Literature in an Age of Data gazes on scenes in which
information makes worlds and gives form. Such capacities, I will argue, endure beyond …