Introduction | Setup Swiss tree data | Examine occurrence--environment relationships | Transform and select environmental variables | Transform to derived variables | Selection stage 1: Select DVs for each EV | Selection stage 2: Select EVs for the final model | Explore the model with response curves | Evaluate the model with AUC | Summary and extended exercises | Advanced: The bias-variance tradeoff in model selection | Set up the alpha comparison | Fit and evaluate the models | Interpret results | Further reading | References

Introducing the data set | readData() | Examining patterns in occurrence | plotFOP() | Transforming explanatory variables (EVs) | deriveVars() | Selecting variables | selectDVforEV() | selectEV() | chooseModel() | Exploring the model | plotResp() | plotResp2() | calculateRVA() | Applying the model | projectModel() | Evaluating the model | testAUC() | Alternative: logistic regression | Acknowledgements | References