[GRASS-dev] [GRASS GIS] #3371: Perceptual color tables

[GRASS GIS]

#3371: Perceptual color tables
-------------------------+-------------------------------------------------
  Reporter:  baharmon    |      Owner:  grass-dev@…
      Type:              |     Status:  new
  enhancement            |
  Priority:  normal      |  Milestone:  7.6.0
 Component:  Default     |    Version:  svn-trunk
Resolution:              |   Keywords:  r.colors, v.colors, inferno, magma,
       CPU:              |  plasma
  Unspecified            |   Platform:  Unspecified
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Comment (by pierreroudier):

 Those palettes all share the same core characteristics: colorful,
 perceptually uniform, and robust to colorblindness.

 In my view, I like to switch between these depending on the data I am
 representing -- for example I tend to prefer `magma` or `inferno` to
 `viridis` to represent say temperature. I've found it useful to have
 access to those different palettes and adapt to the context -- or
 sometimes it might just boil down to personal preferences I suppose (how
 does one use `magma` and not think of Dr. Evil in Austin Powers??).

 More background/illustrations of those palettes:
 https://cran.r-project.org/web/packages/viridis/vignettes/intro-to-
 viridis.html#the-color-scales

 Suggested comments:

 For inferno:

 {{{
 # perceptually uniform and sequential
 # contains black, red and yellow
 # color table developed for Matplotlib (default in 2.0)
 # license of the original data: CC0
 # original authors: Nathaniel J. Smith, Stefan van der Walt, Eric Firing
 # created from cpt-city mpl inferno (r.cpt2grass -s)
 }}}

 For magma:

 {{{
 # perceptually uniform and sequential
 # contains pale yellow, purple and black
 # color table developed for Matplotlib (default in 2.0)
 # license of the original data: CC0
 # original authors: Nathaniel J. Smith, Stefan van der Walt, Eric Firing
 # created from cpt-city mpl inferno (r.cpt2grass -s)
 }}}

 For plasma:

 {{{
 # perceptually uniform and sequential
 # contains blue, pink and yellow
 # color table developed for Matplotlib (default in 2.0)
 # license of the original data: CC0
 # original authors: Nathaniel J. Smith, Stefan van der Walt, Eric Firing
 # created from cpt-city mpl inferno (r.cpt2grass -s)
 }}}

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Ticket URL: <https://trac.osgeo.org/grass/ticket/3371#comment:5>
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