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Beautiful colormaps for oceanography: ¶. This package contains colormaps for commonly-used oceanographic variables. Most of the colormaps started from matplotlib colormaps, but have now been adjusted using the viscm tool to be perceptually uniform.
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8 nov. 2015 · True colors of oceanography. Oceanography, 29 (3), 10. link: http://tos.org/oceanography/assets/docs/29-3_thyng.pdf. Besides Python, the cmocean colormaps are also available: For MATLAB by Chad Greene. For R cmocean, which includes ggplot2 compatible functions.
7 sept. 2021 · They are perceptually uniform, as color should be when it serves as a numeric axis. If these colormaps are useful for you, please consider citing our paper: Thyng, K.M., C.A. Greene, R.D. Hetland, H.M. Zimmerle, and S.F. DiMarco. 2016.
cmocean. Documentation available: http://matplotlib.org/cmocean/. We have a paper with guidelines to colormap selection for your application and a description of the cmocean colormaps: Thyng, K. M., Greene, C. A., Hetland, R. D., Zimmerle, H. M., & DiMarco, S. F. (2016). True colors of oceanography.
cmocean is a package to help standardize colormaps for commonly-plotted oceanographic properties. See README.md for an overview on instructions. Table Of Contents
cmocean: Beautiful Colour Maps for Oceanography. Perceptually uniform palettes for commonly used variables in oceanography as functions taking an integer and producing character vectors of colours. See Thyng, K.M., Greene, C.A., Hetland, R.D., Zimmerle, H.M. and S.F. DiMarco (2016) < doi:10.5670/oceanog.2016.66 > for the guidelines adhered to ...
The cmocean function returns perceptually-uniform colormaps generated by Kristen Thyng. A detailed description of the cmocean project is available at http://matplotlib.org/cmocean.