fitted_model_chelsa: Fitted model with CHELSA variables
In kuenm2: Detailed Development of Ecological Niche Models

fitted_model_chelsa

R Documentation

Fitted model with CHELSA variables

A fitted_models object resulting from fit_selected() using calibration data based on CHELSA variables.

data("fitted_model_chelsa")

A fitted_models with the following elements:

species: Species names
Models: A list with the fitted maxnet models (replicates and full models)
calibration_data: A data.frame containing the variables extracted for presence and background points
continuous_variables: A character indicating the names of the continuous variables
categorical_variables: A character indicating the names of the categorical variables
selected_models: A data.frame with formulas and evaluation metrics for each selected model
weights: A numeric vector specifying weights for the occurrence records. NULL if no weights were set.
pca: A prcomp object containing PCA results. NULL if PCA was not performed.
addsamplestobackground: A logical value indicating whether to add any presence point not already included to the background.
omission_rate: A numeric value indicating the omission rate used to evaluate models.
thresholds: A numeric vector with thresholds used to binarize each replicate and the consensus (mean and median), calculated based on the omission rate defined in calibration().
algorithm: A character string indicating the algorithm used (maxnet).
partition_method: A character string indicating the partitioning method used.
n_replicates: A numeric value indicating the number of replicates or folds.
train_proportion: A numeric value indicating the proportion of occurrences used for training when the partition method is 'subsample' or 'bootstrap'.