Correlation matrix | Density plots | Nearest-neighbour distance | Mapping species data | Plotting static map | Plotting interactive map

Introduction | Modeling all species with one modeling method - example | Evaluating the models | Creating target group background (TGB) sample | TGB example | References

Prepare the training data | Fit a down-sampled random forest | Plot univariate and bivariate response curves | Ensemble response curves

Introduction | New updates of the version 3.0 | Installation | Package data | Block cross-validation strategies | Spatial blocks | Spatial and environemntal clustering | Buffering LOO (also known as Spatial LOO) | Nearest Neighbour Distance Matching (NNDM) LOO | Visualising the folds | Check similarity | Estimating size: the effective range of spatial autocorrelation | References:

Introduction | Reading and plotting data | Generating block CV folds | Evaluating SDMs with block cross-validation: examples | Using blockCV with Random Forest model | Using blockCV in biomod2 package | References: