cmocean perceptually-uniform colormaps

Perceptually-uniform colormaps inspired by oceanography

http://matplotlib.org/cmocean

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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

인용 양식

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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카테고리

Help CenterMATLAB Answers에서 Oceanography and Hydrology에 대해 자세히 알아보기

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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

이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.
이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.