cmocean perceptually-uniform colormaps

Perceptually-uniform colormaps inspired by oceanography
12,2K download
Aggiornato 7 set 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

Cita come

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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Compatibilità della release di MATLAB
Creato con R2012b
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Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate

Versione Pubblicato Note della release
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

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.