Description Details Author(s) References See Also Examples
A suite of functions for visualising ternary probabilistic forecasts.
Package: | ternvis |
Type: | Package |
Version: | 1.0 |
Date: | 2012-03-29 |
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
.
Tim Jupp
Maintainer: Tim Jupp <t.e.jupp@exeter.ac.uk>
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
Some concepts adapted from those in package vcd.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | 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)
|
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