Minimal Predicted Area
Calculate the minimal predicted area.
ecospat.mpa (Pred, Sp.occ.xy, perc)
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. |
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).
Returns the minimal predicted area.
Frank Breiner frank.breiner@wsl.ch
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.
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
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