View source: R/SDM_GEN_MAXENT_FUNCTIONS.R
run_sdm_analysis_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 dismo package https://github.com/johnbaums/rmaxent
run_sdm_analysis_crop( taxa_list, taxa_level, sdm_df, sdm_predictors, maxent_dir, bs_dir, backwards_sel, template_raster, cor_thr, pct_thr, k_thr, min_n, max_bg_size, background_buffer_width, shapefiles, features, replicates, responsecurves, crop_Koppen, Koppen_raster, Koppen_zones, country_shp )
taxa_list |
Character string - the taxa to run maxent models for |
taxa_level |
Character string - the taxnomic level to run maxent models for |
sdm_df |
SpatialPointsDataFrame. Spdf of all taxa records returned by the 'prepare_sdm_table' function |
sdm_predictors |
Character string - Vector of enviro conditions that you want to include |
maxent_dir |
Character string - The file path used for saving the maxent output |
bs_dir |
Character string - The file path used for saving the backwards selection maxent output |
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) |
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 |
min_n |
Numeric - The min number of records for running maxent |
max_bg_size |
Numeric - The max number of background points to keep |
background_buffer_width |
Numeric - The max distance (km) from occ points that BG points should be selected? |
shapefiles |
Logical - Save shapefiles of the occ and bg data (T/F)? |
features |
Character string - Which features should be used? (e.g. linear, product, quadratic 'lpq') |
replicates |
Numeric - The number of replicates to use |
responsecurves |
Logical - Save response curves of the maxent models (T/F)? |
Koppen_raster |
RasterLayer of global koppen zones, in Mollweide54009 projection |
Koppen_zones |
Dataframe of global koppen zones, with columns : GRIDCODE, Koppen |
country_shp |
.Rds object - SpatialPolygonsDataFrame of Australia for mapping maxent points |
koppen_crop |
Logical - Should we use a koppen zone raster to select background points? |
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