tcolour: Assign a colour to a ternary forecast

In ternvis: Visualisation, Verification and Calibration of Ternary Probabilistic Forecasts

Description

Function to assign a colour to a ternary forecast p, given a ternary climatology q.

Usage

tcolour(p = cbind(1, 1, 1)/3, q = cbind(1, 1, 1)/3, m = 0.7, 
        flip = FALSE, dich = "none", theta0 = 0)

Arguments

p	An n-by-3 matrix of ternary forecasts.
q	A 1-by-3 matrix containing the climatology.
m	Exponent controlling rate of colour saturation.
flip	Logical to transpose categories "B" and "A" in barycentric coordinates.
dich	Option to render colours as they would appear to a dichromat. Default choice dich = "none" leaves colours unchanged. Choices dich = "deutan" and dich = "protan" show colours as they would appear to those with deutanopia or protanopia (see dichromat).
theta0	Angle (degrees) through which to rotate colour palette around climatology q in barycentric coordinates.

Value

A colour, of the format produced by rgb.

Author(s)

Tim Jupp

References

Jupp TE, Lowe R, Stephenson DB, Coelho CAS (2012) On the visualization, verification and recalibration of ternary probabilistic forecasts, Philosophical Transactions of the Royal Society, volume 370, pages 1100-1120.

http://rsta.royalsocietypublishing.org/content/370/1962/1100.full

http://arxiv.org/abs/1103.1303

Examples

p <- cbind(0.7,0.2,0.1)   # define a forecast
q <- cbind(1,1,1)/3       # define a climatology
pcol <- tcolour(p=p,q=q)  # assign a colour
pcol                      # print the colour code to terminal
tplot(p,col=pcol)         # use this colour in a plot

ternvis documentation built on July 5, 2019, 5:03 p.m.