Introduction

In Oceanography it can be useful to use colour to display z values along an (x,y) trajectory. For example, CTD data might be displayed in this way, with x being distance along track, y being depth, and z being temperature. This post shows how one might do this.

Methods

The R code given below demonstrates this with fake data. The core idea is to use segments(), here with head() and tail() to chop up the trajectory.

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
library(oce)
x <- seq(0, 1, length.out=50)
y <- x
z <- seq(0, 1, length.out = length(x))
zlim <- range(z)
npalette <- 10
mar <- par('mar')

palette <- oceColorsJet(npalette)
drawPalette(zlim = zlim, col = palette)
plot(x, y, type = "l")
grid()
segments(head(x, -1), head(y, -1),
  tail(x, -1), tail(y, -1),
  col = palette[findInterval(z, 
    seq(zlim[1], zlim[2], length.out = npalette + 1))],
  lwd = 8)
points(x, y, pch = 20, cex=1/3)

center

Results

The graph shows that this works reasonably well. The dots will probably not be useful in an actual application, and are used here just to indicate colourization in groups.

Exercises

Find a way to blend colour between the points, perhaps by defining a euclidian distance in (x,y) space (which will of course require scaling if x and y have different units or ranges) and then using approx().

This website is written in Jekyll, and the source is available on GitHub.