Minimal Predicted Area

Description

Calculate the minimal predicted area.

Usage

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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.

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).

Value

Returns the minimal predicted area.

Author(s)

Frank Breiner frank.breiner@wsl.ch

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

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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

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