ecospat (version 4.1.1)

ecospat.mpa: Minimal Predicted Area

Description

Calculate the minimal predicted area.

Usage

ecospat.mpa (Pred, Sp.occ.xy, perc)

Value

Returns the minimal predicted area.

Arguments

Pred

Numeric or, SpatRaster predicted suitabilities from a SDM prediction.

Sp.occ.xy

xy-coordinates of the species (if Pred is a RasterLayer or a SpatRaster).

perc

Percentage of Sp.occ.xy that should be encompassed by the binary map.

Author

Frank Breiner with the contribution of Flavien Collart

Details

The minimal predicted area (MPA) is the minimal surface obtained by considering all pixels with predictions above a defined probability threshold (e.g. 0.7) that still encompasses 90 percent of the species` occurrences (Engler et al. 2004).

References

Engler, R., A. Guisan and L. Rechsteiner. 2004. An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data. Journal of Applied Ecology, 41, 263-274.

Examples

data(ecospat.testData)
obs <- (ecospat.testData$glm_Saxifraga_oppositifolia
[which(ecospat.testData$Saxifraga_oppositifolia==1)])

ecospat.mpa(obs)
ecospat.mpa(obs,perc=1) ## 100 percent of the presences encompassed