ternvis (version 1.3)

ternvis-package: Visualisation, verification and calibration of ternary forecast data

Description

A suite of functions for visualising ternary probabilistic forecasts.

Author

Tim Jupp

Maintainer: Tim Jupp <[e-mail]>

Details

Package:	ternvis
Type:	Package
Version:	1.3
Date:	2025-03-27
License:	GPL-2

Colours can be assigned to ternary probabilistic forecasts using tcolour. These colours can be used to produce forecast maps as in the example function tmap. A set of ternary forecasts p can be compared with subsequent ternary observations o using the function tverify. plot.tverify then displays this information in a Ternary Reliability Diagram. Calibration is performed using tgetcal and tcalibrate.

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.

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

https://arxiv.org/abs/1103.1303/

See Also

Some concepts adapted from those in package vcd.

Examples

data(foot)
# see the distribution of forecasts
tplot(foot$p,main="Bookmaker forecasts of \n football matches",
      dimnames=c("Home Win","Draw","Away Win"))
# see how well forecasts compare with results
# create object of class tverify
foot.verify <- tverify(p=foot$p,o=foot$o)
 
# plot ternary reliability diagram
dev.new()
plot(foot.verify, thresh=3)               

# get a (linear) calibration of these data
# create an object of class tverify
foot.calib <- tgetcal(foot.verify) 

# plot ternary reliability diagram of calibrated        
dev.new()
plot(foot.calib, thresh=3)                

data(rain)

tmap(rain,iyr=17,palette=TRUE,circles=FALSE,fac=10)