View source: R/SDM_GEN_MAXENT_FUNCTIONS.R
fit_maxent_targ_bg_back_sel_no_crop | R Documentation |
This function takes a data frame of all taxa records, and runs a specialised maxent analysis for each taxa. It uses the rmaxent package https://github.com/johnbaums/rmaxent It assumes that the input df is that returned by the prepare_sdm_table function
fit_maxent_targ_bg_back_sel_no_crop( occ, bg, sdm_predictors, taxa, outdir, bsdir, cor_thr, pct_thr, k_thr, backwards_sel, template_raster, min_n, max_bg_size, background_buffer_width, shapefiles, features, feat_save, replicates, responsecurves, poly )
occ |
SpatialPointsDataFrame - Spdf of all taxa records returned by the 'prepare_sdm_table' function |
bg |
SpatialPointsDataFrame - Spdf of of candidate background points |
sdm_predictors |
Character string - Vector of enviro conditions that you want to include |
outdir |
Character string - The file path used for saving the maxent output |
bsdir |
Character string - The file path used for saving the backwards selection maxent output |
cor_thr |
Numeric - The max allowable pairwise correlation between predictor variables |
pct_thr |
Numeric - The min allowable percent variable contribution |
k_thr |
Numeric - The min number of variables to be kept in the model |
backwards_sel |
Logical - Run backwards selection using the maxent models (T/F)? |
template_raster |
RasterLayer - Empty raster with analysis extent (global), res (1km) and projection (Mollweide, EPSG 54009) |
min_n |
Numeric - The min number of records for running maxent |
max_bg_size |
Numeric - The max number of background points to keep |
features |
Character string - Which features should be used? (e.g. linear, product, quadratic 'lpq') |
feat_save |
Logical - Save shapefiles of the occ and bg data (T/F)? |
replicates |
Numeric - The number of replicates to use |
responsecurves |
Logical - Save response curves of the maxent models (T/F)? |
poly |
Character string - path to shapefile |
rep_args |
RasterLayer of global koppen zones, in Mollweide54009 projection |
full_args |
Dataframe of global koppen zones, with columns : GRIDCODE, Koppen |
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