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Calculates values of a series of different evaluations metrics for a model and for a given threshold value
ecospat.meva.table(Pred, Sp.occ, th)A contingency table of observations and predicted probabilities of presence values, and a list of evaluation metrics for the selected threshold.
A vector of predicted probabilities
A vector of binary observations of the species occurrence
Threshold used to cut the probability to binary values
Antoine Guisan antoine.guisan@unil.ch with contributions of Luigi Maiorano luigi.maiorano@gmail.com
Pearce, J. and S. Ferrier. 2000. Evaluating the predictive performance of habitat models developed using logistic regression. Ecol. Model., 133, 225-245. Wunderlich, R.F. et al. 2019. Two alternative evaluation metrics to replace the true skill statistic in the assessment of species distribution models. Nature Conservation, 35, 97-116. tools:::Rd_expr_doi("10.3897/natureconservation.35.33918")
ecospat.max.kappa, ecospat.max.tss, ecospat.plot.tss, ecospat.cohen.kappa, ecospat.plot.kappa
Pred <- ecospat.testData$glm_Agrostis_capillaris
Sp.occ <- ecospat.testData$Agrostis_capillaris
meva <- ecospat.meva.table (Pred, Sp.occ, 0.39)
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