Reference

Modeling species distribution
format_observation()	Format the occurrence dataset for usage in itsdm
dim_reduce()	Remove environmental variables that have high correlation with others.
suspicious_env_outliers()	Function to detect suspicious outliers based on environmental variables.
isotree_po()	Build Isolation forest species distribution model and explain the the model and outputs.
probability()	Estimate suitability on stars object using trained isolation.forest model.
variable_analysis()	Function to evaluate relative importance of each variable.
evaluate_po()	Evaluate the model based on presence-only data.
independent_response()	Calculate independent responses of each variables.
marginal_response()	Calculate marginal responses of each variables.
shap_dependence()	Calculate Shapley value-based variable dependence.
spatial_response()	Calculate spatial response or dependence figures.
shap_spatial_response()	Calculate shapley values-based spatial response.
variable_contrib()	Evaluate variable contributions for targeted observations.
convert_to_pa()	Convert predicted suitability to presence-absence map.
detect_envi_change()	Detect areas influenced by a changing environment variable.
Visualization
Plot/figure
plot(<EnviChange>)	Display the figure and map of the EnviChange object.
plot(<EnvironmentalOutlier>)	Exhibit suspicious outliers in an observation dataset.
plot(<IndependentResponse>)	Show independent response curves.
plot(<MarginalResponse>)	Show marginal response curves.
plot(<PAConversion>)	Display results of conversion to presence-absence (PA).
plot(<POEvaluation>)	Show model evaluation.
plot(<SHAPSpatial>)	Display Shapley values-based spatial variable dependence maps.
plot(<ShapDependence>)	Show variable dependence plots and variable interaction plots obtained from Shapley values.
plot(<SpatialResponse>)	Display spatial variable dependence maps.
plot(<VariableAnalysis>)	Display variable importance.
plot(<VariableContribution>)	Exhibit variable contribution for target observations.
Print/summary
print(<EnviChange>)	Print summary information from EnviChange object.
print(<EnvironmentalOutlier>)	Print summary information from EnvironmentalOutlier object.
print(<FormatOccurrence>)	Print summary information from FormatOccurrence object.
print(<PAConversion>)	Print summary information from PAConversion object.
print(<POEvaluation>)	Print summary information from model evaluation object (POEvaluation).
print(<POIsotree>)	Print summary information from POIsotree object.
print(<ReducedImageStack>)	Print summary information from ReducedImageStack object.
print(<VariableAnalysis>)	Print summary information from variable importance object (VariableAnalysis).
Datasets
mainland_africa	Boundary of mainland Africa
occ_virtual_species	Occurrence dataset of a virtual species
worldclim2()	Download environmental variables made by worldclim version 2.1.
future_worldclim2()	A function to parse the future climate from worldclim version 2.1.
cmcc_bioclim()	Download historic Bioclimatic indicators (BIOs) named CMCC-BioClimInd.
future_cmcc_bioclim()	Download future Bioclimatic indicators (BIOs) named CMCC-BioClimInd.
Package
itsdm-package itsdm	Isolation forest-based presence-only species distribution modeling