The accurate representation of data is essential in science communication. However, colour
maps that visually distort data through uneven colour gradients or are unreadable to those …

Rainbow color scheme is popularly used across the board in many scientific disciplines for
visualizing data, yet heavily debated in visualization literature. In this paper, we first report …

Color mapping is a foundational technique for visualizing scalar data. Prior literature offers
guidelines for effective colormap design, such as emphasizing luminance variation while …

Scatterplots commonly use color to encode categorical data. However, as datasets increase
in size and complexity, the efficacy of these channels may vary. Designers lack insight into …

The scientific community generally agrees on the theory, introduced by Riemann and
furthered by Helmholtz and Schrödinger, that perceived color space is not Euclidean but …

Bigels are biphasic semisolid systems that have been explored as delivery vehicles in the
food and pharmaceutical industries. These formulations are highly stable and have a longer …

After demonstrating that rainbow colors are still commonly used in scientific publications, we
comparatively evaluate the rainbow and sequential color schemes on choropleth and …

Guidelines for color use in quantitative visualizations have strongly discouraged the use of
rainbow colormaps, arguing instead for smooth designs that do not induce visual …

Applying lossy data compression to climate model output is an attractive means of reducing
the enormous volumes of data generated by climate models. However, because lossy data …

Background and objectives: Brain MR images consist of three major regions: gray matter,
white matter and cerebrospinal fluid. Medical experts make decisions on different serious …