| ecospat.mpa {ecospat} | R Documentation |
Minimal Predicted Area
Description
Calculate the minimal predicted area.
Usage
ecospat.mpa (Pred, Sp.occ.xy, perc)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. |
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 with the contribution of Flavien Collart
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