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ecospat

ecospat.meva.table

Model Evaluation For A Given Threshold Value

Description

Calculates values of a series of different evaluations metrics for a model and for a given threshold value

Usage

ecospat.meva.table(Pred, Sp.occ, th)

Arguments

Pred

A vector of predicted probabilities

Sp.occ

A vector of binary observations of the species occurrence

th

Threshold used to cut the probability to binary values

Value

A contingency table of observations and predicted probabilities of presence values, and a list of evaluation metrics for the selected threshold.

Author(s)

Antoine Guisan antoine.guisan@unil.ch with contributions of Luigi Maiorano luigi.maiorano@gmail.com

References

Pearce, J. and S. Ferrier. 2000. Evaluating the predictive performance of habitat models developed using logistic regression. Ecol. Model., 133, 225-245.

See Also

Examples

Pred <- ecospat.testData$glm_Agrostis_capillaris
Sp.occ <- ecospat.testData$Agrostis_capillaris

meva <- ecospat.meva.table (Pred, Sp.occ, 0.39)
ecospat

Spatial Ecology Miscellaneous Methods

v3.2
GPL
Authors
Olivier Broennimann [cre, aut, ctb], Valeria Di Cola [aut, ctb], Blaise Petitpierre [ctb], Frank Breiner [ctb], Daniel Scherrer [ctb], Manuela D`Amen [ctb], Christophe Randin [ctb], Robin Engler [ctb], Wim Hordijk [ctb], Heidi Mod [ctb], Julien Pottier [ctb], Mirko Di Febbraro [ctb], Loic Pellissier [ctb], Dorothea Pio [ctb], Ruben Garcia Mateo [ctb], Anne Dubuis [ctb], Luigi Maiorano [ctb], Achilleas Psomas [ctb], Charlotte Ndiribe [ctb], Nicolas Salamin [ctb], Niklaus Zimmermann [ctb], Antoine Guisan [aut]
Initial release
2021-02-17

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