ocean: Oceanography perceptually uniform colormaps

oceanR Documentation

Oceanography perceptually uniform colormaps

Description

These palettes have been designed to be a collection of perceptually uniform colormaps designed for oceanographic data display.

Usage

ocean.algae(n)

ocean.deep(n)

ocean.dense(n)

ocean.gray(n)

ocean.haline(n)

ocean.ice(n)

ocean.matter(n)

ocean.oxy(n)

ocean.phase(n)

ocean.solar(n)

ocean.thermal(n)

ocean.turbid(n)

ocean.balance(n)

ocean.curl(n)

ocean.delta(n)

ocean.amp(n)

ocean.speed(n)

ocean.tempo(n)

Arguments

n

Number of colors

Details

The 'oxy' palette does not include gray as shown in Thyng (2016).

The 'balance', 'delta', and 'curl' palettes were originally given as 2*256 colors (256 each for the left and right half of the palette) and have been downsampled to 256 colors.

The palettes from matplotlib have been converted from RGB codes to hexadecimal strings for use in this package.

Value

None

Author(s)

Palette colors by Kristen Thyng. R code by Kevin Wright

References

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.

Examples


pal.bands(ocean.thermal, ocean.haline, ocean.solar, ocean.ice, ocean.gray,
          ocean.oxy, ocean.deep, ocean.dense, ocean.algae, ocean.matter,
          ocean.turbid, ocean.speed, ocean.amp, ocean.tempo, ocean.phase,
          ocean.balance, ocean.delta, ocean.curl, main="Ocean palettes")

## Not run: 
pal.test(ocean.thermal)
pal.test(ocean.haline) # better than parula!
pal.test(ocean.solar)
pal.test(ocean.ice)
pal.test(ocean.gray)
pal.test(ocean.oxy)
pal.test(ocean.deep)
pal.test(ocean.dense)
pal.test(ocean.algae)
pal.test(ocean.matter)
pal.test(ocean.turbid)
pal.test(ocean.speed)
pal.test(ocean.amp)
pal.test(ocean.tempo)
pal.test(ocean.phase)
pal.test(ocean.balance)
pal.test(ocean.delta)
pal.test(ocean.curl)

## End(Not run)


pals documentation built on Aug. 23, 2023, 9:07 a.m.