# Beautiful colormaps for oceanography: cmocean

This package contains an R version of the `cmocean` color palettes for oceanography, developed originally for python by Kristen Thyng. The important detail of all the `cmocean` palettes is that they are all perceptually uniform.

Users interested in the the details of the original package development should consult the publication: Thyng, K. M., Greene, C. A., Hetland, R. D., Zimmerle, H. M., & DiMarco, S. F. (2016). True colors of oceanography. Oceanography, 29(3), 10.

# Examples:

The functions that return the colors are accessed using the `cmocean()` function, where the first argument is the name of the desired palette.

We can make a simple function to display the palette colors:

    library(cmocean)
    plot_cm <- function(name, n=256) {
        z <- matrix(seq(0, 1, length.out=n))
        image(z, col=cmocean(name)(n), axes=FALSE)
        mtext(name, 3, adj=0)
    }

Below are examples of each of the `cmocean` palettes. Many more examples are provided at https://matplotlib.org/cmocean/

## palettes

## Data examples:

    par(mar=c(2, 2, 1, 1), cex=0.5)
    image(volcano, col=cmocean('thermal')(256))

    par(mar=c(2, 2, 1, 1), cex=0.5)
    x <- y <- seq(-4*pi, 4*pi, len = 27)
    r <- sqrt(outer(x^2, y^2, "+"))
    image(z = z <- cos(r^2)*exp(-r/6), col  = cmocean('haline')(256))