kuenm2: Detailed Development of Ecological Niche Models

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()

Post-modeling analysis

• Variability: prediction_changes(), projection_changes(), projection_variability()

• Uncertainty: projection_mop(), single_mop()

See also

Useful links:

• https://marlonecobos.github.io/kuenm2/

• Report bugs at https://github.com/marlonecobos/kuenm2/issues

Author

Maintainer: Weverton C. F. Trindade wevertonf1993@gmail.com (ORCID)

Authors:

• Luis F. Arias-Giraldo lfarias.giraldo@gmail.com (ORCID)

• Luis Osorio-Olvera luismurao@gmail.com (ORCID)

• A. Townsend Peterson town@ku.edu (ORCID)

• Marlon E. Cobos manubio13@gmail.com (ORCID)