# ecospat.mpa

From ecospat v3.0
by Olivier Broennimann

##### Minimal Predicted Area

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.

##### 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.

##### 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 {
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
# }
```

*Documentation reproduced from package ecospat, version 3.0, License: GPL*

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