caretSDM1.2.3 package

Add predictors to sdm_area

Add scenarios to sdm_area

Create buffer around occurrences

caretSDM: Build Species Distribution Modeling using 'caret'

Correlation between projections

Presence data cleaning routine

Retrieve Species data from GBIF

Ensemble GCMs into one scenario

input_sdm

is_class functions to check caretSDM data classes.

Join Area

Occurrences Managing

Predictors as PCA-axes

Model Response to Variables

S3 Methods for plot and mapview

Predict SDM models in new data

Prediction Change Analysis

Predictors Names Managing

Print method for input_sdm

Print method for models

Print method for occurrences

Print method for predictions

Obtain Pseudoabsences

Create a sdm_area object

sdm_as_X functions to transform caretSDM data into other classes.

Calculates performance across resamples

Tidyverse methods for caretSDM objects

Train SDM models

tSNE

Retrieve tuneGrid from models

Ensemble of Small Models (ESM) in caretSDM

MacroEcological Models (MEM) in caretSDM

Calculation of variable importance for models

Calculate VIF

Download WorldClim v.2.1 bioclimatic data

Write caretSDM data