cmocean perceptually-uniform colormaps

Versión 2.02 (896 KB) por Chad Greene
Perceptually-uniform colormaps inspired by oceanography

10K descargas

Actualizado 7 Sep 2021

De GitHub

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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

Citar como

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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Compatibilidad con la versión de MATLAB
Se creó con R2012b
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Versión Publicado Notas de la versión
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

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.