View source: R/5.1.f.mscn.projection.R
| proj_mdl | R Documentation | 
This function will read an object returned by "calib_mdl", read the calibrated models and project into new areas/climatic scenarios. These new projections will be returned together with (appended to) the original object.
proj_mdl(
  mcm,
  sp.nm = "species",
  pred.nm = "fut",
  a.proj,
  format = "raster",
  numCores = 1,
  parallelTunning = TRUE
)
| mcm | Objects returned by "calib_mdl", containing calibrated models. | 
| sp.nm | Species name. Used to name the output folder | 
| pred.nm | Character. Prefix to add to projection name (e.g. "fut" or "past") | 
| a.proj | A Raster* object or a data.frame where models will be projected. Argument 'x' of dismo::predict | 
| format | Character. Output file type. Argument 'format' of raster::writeRaster | 
| numCores | Number of cores to use for parallelization. If set to 1, no paralellization is performed | 
| parallelTunning | Should parallelize within species (parallelTunning=TRUE) or between species (parallelTunning=FALSE) | 
A list containing all the items returned from function "calib_mdl", plus the projection specified in a.proj. Each projection is a raster stack containing model projections ('mxnt.preds'), where each layer is a projection based on a specific model selection criteria (i.e. AvgAIC, LowAIC, avg.test.orMTP, avg.test.or10pct, avg.test.AUC.MTP, avg.test.AUC10pct)
mod_sel, calib_mdl, calib_mdl_b, maxent,
ENMevaluate, ENMevaluate_b, proj_mdl_b
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