Quantum mechanics

Neuroscience

Materials science

Colored

Archaeology

Computer science

Color model

Suite

Physics

Psychology

Pattern recognition (psychology)

Optics

Geography

Image (mathematics)

Focus (optics)

Artificial intelligence

Composite material

Rainbow

Luminance

Perception

Color space

Computer vision

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 of 'rainbow' colormaps and advocates for ramping in luminance, while recent work contributes multi-hue colormaps generated using perceptually-uniform color models. We contribute a comparative analysis of different colormap types, with a focus on comparing single- and multi-hue schemes. We present a suite of experiments in which subjects perform relative distance judgments among color triplets drawn systematically from each of four single-hue and five multi-hue colormaps. We characterize speed and accuracy across each colormap, and identify conditions that degrade performance. We also find that a combination of perceptual color space and color naming measures more accurately predict user performance than either alone, though the overall accuracy is poor. Based on these results, we distill recommendations on how to design more effective color encodings for scalar data.

Somewhere Over the Rainbow