ecospat.meva.table: Model Evaluation For A Given Threshold Value

In ecospat: Spatial Ecology Miscellaneous Methods

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 [e-mail] with contributions of Luigi Maiorano [e-mail]

References

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. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.3897/natureconservation.35.33918")}

See Also

ecospat.max.kappa, ecospat.max.tss, ecospat.plot.tss, ecospat.cohen.kappa, ecospat.plot.kappa

Examples

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

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

ecospat documentation built on Oct. 18, 2023, 1:19 a.m.