View source: R/6.f.threshold.R
thrshld_b | R Documentation |
This function will apply the selected threshold criterias to MaxEnt model projection(s) of a 'mcmp.l' object and save on the folder "3_out.MaxEnt/Mdls.[species name]/Mdls.thrshld". For each projection (species and climatic scenario), two layers will be generated, one with suitability above the threshold value and another with presence/absence only.
thrshld_b(mcmp.l, thrshld.i = 4:6, t.all = FALSE, numCores = 1)
mcmp.l |
Object returned by |
thrshld.i |
List of threshold criteria to be applied. Use numbers to choose the desired one(s). Current options: 1. Fixed.cumulative.value.1 (fcv1); 2. Fixed.cumulative.value.5 (fcv5); 3. Fixed.cumulative.value.10 (fcv10); 4. Minimum.training.presence (mtp); 5. 10.percentile.training.presence (x10ptp); 6. Equal.training.sensitivity.and.specificity (etss); 7. Maximum.training.sensitivity.plus.specificity (mtss); 8. Balance.training.omission.predicted.area.and.threshold.value (bto); 9. Equate.entropy.of.thresholded.and.original.distributions (eetd). |
t.all |
logical. Should threshold be applied on individual and consensus projections? Default is FALSE. Ignored if consensus projections are not found. |
numCores |
Number of cores to use for parallelization. If set to 1, no paralellization is performed |
List of stack or brick of thresholded predictions
thrshld
## Not run:
mods.thrshld.lst <- thrshld_b(mcmp.l=mxnt.mdls.preds.cf)
## End(Not run)
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