0. Brief introduction | 1. Install binary files | 2. Matrix or network formats | 3. Pairwise similarity/dissimilarity metrics | 4. Bioregionalization algorithms | 4.1 Hierarchical clustering | 4.2 Non-hierarchical clustering | 4.3 Network clustering | 4.4 Microbenchmark | 5. Visualization and evaluation of the results | 5.1 Visualization | 5.2 Summary metrics | 5.3 Compare bioregionalizations

Introduction | A short note on terminology | Origin–Destination matrix | Aggregated inputs information | Trip distribution laws | Constrained distribution models | Goodness-of-fit measures | Common Part of Commuters (CPC) | Normalized Root Mean Square Error (NRMSE) | Kullback–Leibler divergence (KS) | Common Part of Links (CPL) | Common Part of Commuters based on the disance (CPC_d) | Kolmogorv-Smirnov statistic and p-value (KS). | Example of commuting in Kansas | Data | Extract Additional Spatial Information | Run functions | Parameters' calibration & models' evaluation | Reference