ecospat (version 3.2)

ecospat.mpa: Minimal Predicted Area

Description

Calculate the minimal predicted area.

Usage

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

Arguments

Pred

Numeric or RasterLayer predicted suitabilities from a SDM prediction.

Sp.occ.xy

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

perc

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

Value

Returns the minimal predicted area.

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

# NOT RUN {
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
# }