12/25/2023 0 Comments Scientific color machineThe perceptual color space Jab is similar to Lab. And its cylindrical coordinates are J', C', and h'. Its three coordinates are usually denoted by J', a', and b'. Scicomap uses the CAM02-UCS color space (Uniform Colour Space). For example, a blue and red that are at a distance d apart should look as discriminable as green and purple that are at a distance d apart. Perceptual uniformity is the idea that Euclidean distance between colors in color space should match human color perception distance judgements. Moreover, do not overlook colour-vision deficiency, which represents 8% of the (Caucasian) male population. Scientist or not, your goal is to communicate visual information in the most accurate and appealing fashion. These color maps do not render all the information you want to illustrate or even worse render false information through artefacts. An infamous example is the jet color map. Many common color maps distort data through uneven colour gradients and are often unreadable to those with color-vision deficiency. The accurate representation of data is essential. This package is heavily based on the Event Horyzon Plot package and uses good color maps found in the the python portage of the Fabio Crameri, cmasher, palettable, colorcet and cmocean Motivation I will illustrate the scicomap capabilities below. You can easily draw examples, compare the rendering, see how colorblind people will perceive the color maps. Scicomap currently provides sequential, bi-sequential, diverging, circular, qualitative and miscellaneous color maps. Scicomap is a package that provides scientific color maps and tools to standardize your favourite color maps if you don't like the built-in ones.
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