cmocean perceptually-uniform colormaps

Version 2.02 (896 KB) by Chad Greene
Perceptually-uniform colormaps inspired by oceanography
5.0
(33)
12.9K Downloads
Updated 7 Sep 2021
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These colormaps were developed by Kristen Thyng using viscm. 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. True colors of oceanography: Guidelines for effective and accurate colormap selection. Oceanography 29(3):9–13. http://dx.doi.org/10.5670/oceanog.2016.66

Cite As

Thyng, Kristen, et al. “True Colors of Oceanography: Guidelines for Effective and Accurate Colormap Selection.” Oceanography, vol. 29, no. 3, The Oceanography Society, Sept. 2016, pp. 9–13, doi:10.5670/oceanog.2016.66.

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MATLAB Release Compatibility
Created with R2012b
Compatible with any release
Platform Compatibility
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Version Published Release Notes
2.02

port to github
2.01

Updated the image.
2.0

Added new rain, topo, diff, and tarn colormaps.
1.5

Modified input parser, following a suggestion by Phelype Oleinik. Also, now, if no outputs are specified it sets the colormap of the current axes via colormap(gca,cmap) whereas previously it was simply colormap(cmap).

1.4.0.0

Documentation fix.
Added a new "negative" option for divergent colormaps.
1.3.0.0

The 'zero' option for diverging colormaps has been extended to a 'pivot' syntax, which allows setting a pivot point to any value, zero or otherwise.
1.2.0.0

Added a link to our Oceanography paper. Also added the feature to simply type "cmocean" to bring up a window showing colormap options.
1.1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.