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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