kuenm2-package: kuenm2: Detailed Development of Ecological Niche Models
In kuenm2: Detailed Development of Ecological Niche Models

kuenm2-package

R Documentation

kuenm2: Detailed Development of Ecological Niche Models

Description

kuenm2 A new set of tools to help with the development of detailed ecological niche models using multiple algorithms, at the moment Maxnet and GLM. Pre-modeling analyses and explorations can be done to prepare data. Model calibration (model selection) can be done by creating and testing several candidate models, that are later selected based on a multicriteria approach. Handy options for producing final models with transfers are included. Other tools to assess extrapolation risks and variability in model transfers are also available.

Main functions by stage in the ENM process

Pre-modeling steps

Data preparation: initial_cleaning(), advanced_cleaning(), prepare_data(), prepare_user_data()
Data exploration: explore_calibration_hist(), explore_partition_env(), explore_partition_geo(), explore_partition_extrapolation(), plot_calibration_hist(), plot_explore_partition()

Modeling process

Model calibration: calibration(), select_models()
Model exploration: fit_selected(), variable_importance(), plot_importance(), response_curve(), all_response_curves(), bivariate_response(), partition_response_curves()
Model projection: predict_selected(), organize_for_projection(), organize_future_worldclim(), prepare_projection(), project_selected()