cmocean perceptually-uniform colormaps

Version 2.02 (896 ko) par Chad Greene
Perceptually-uniform colormaps inspired by oceanography
11,9K téléchargements
Mise à jour 7 sept. 2021

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

Citation pour cette source

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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Compatibilité avec les versions de MATLAB
Créé avec R2012b
Compatible avec toutes les versions
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Les versions qui utilisent la branche GitHub par défaut ne peuvent pas être téléchargées

Version Publié le Notes de version
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

Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.
Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.