Summary | Description | Getting ready | Cleaning data | Import data | Basic cleaning steps | Other cleaning steps | Saving results

Summary | Description | Getting ready | Preparing data | Example data | First steps in preparing data | Using pre-processed data | Exploring prepared data | Comparative histograms | Distribution of data for models | Similarity assessment in partitions | More options to prepare data | Custom formulas | Using a bias file | PCA for variables | Internal PCA | External PCA | Using external data partitions | ENMeval partitions | flexsdm partitions | Saving prepared data

Summary | Description | Getting ready | Preparing data | Calibration | Maxnet models | GLMs | Concave curves | Re-selecting models | Training partition effects | Saving a calibration_results object

Summary | Description | Getting ready | Fitting selected models | Response curves | All response curves | Customized response curves | Bivariate response curves | Variable importance | Evaluation with independent data | Saving a fitted_models object

Summary | Description | Getting ready | Fitted models | Model predictions | Predict to SpatRaster | Predict to data.frame | Options for predictions | Output type | Clamping variables | No extrapolation | Binarize predictions | Saving predictions | Detecting changes in predictions

Summary | Description | Getting ready | Fitted models | Variables for projections | Variables from WorldClim | Format for renaming | Static variables | Organizing files | Preparing data for projections | Projecting to multiple scenarios | Importing results from projections | Detecting changes in projections | Setting colors for maps | Types os results | Importing Results | Saving results

Summary | Description | Getting ready | Loading and preparing data | Exploring variability | Importing Results | Saving results | Assessing extrapolation risks | MOP result options | Distances | Basic | Simple | Towards high and low ends | Combined results | Handling values within range | MOP results and response curves | Saving and importing results

Summary | Description | Getting ready | Naming files for projections | Getting variables | Downloading LGM variables | Downloading current variables | Subsetting and renaming | Organizing variables | Data preparation for model projections | Projecting models | Detecting changes: Past vs present