Evaluation plots

0th

Percentile

Plot model evaluation data

Make a ROC curve, or a plot of a threshold dependent measure against threshold values

Keywords
spatial
Methods

usage: plot(x, y, ...)

x
Object of class ModelEvaluation
y Character. Either 'ROC' or a threshold dependent measure such as 'kappa', 'TPR'
...
Additional arguments that can be passed to plot

See Also

ModelEvaluation-class, density, pairs, plot

Aliases
  • plot,ModelEvaluation,character-method
Examples
# p = the predicted value for 50 known cases (locations) with presence of the phenomenon (species)
p = rnorm(50, mean=0.7, sd=0.3)
# b = the predicted value for 50 known cases (locations) with absence of the phenomenon (species)
a = rnorm(50, mean=0.4, sd=0.4)
e = evaluate(p=p, a=a)
plot(e, 'ROC')
plot(e, 'kappa')
plot(e, 'FPR')
plot(e, 'prevalence')
Documentation reproduced from package dismo, version 1.1-4, License: GPL (>= 3)

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