User-Friendly 'shiny' App for Bayesian Species Distribution
Models
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Documentation for package ‘glossa’ version 1.0.0
Help Pages
| buffer_polygon | Enlarge/Buffer a Polygon |
| clean_coordinates | Clean Coordinates of Presence/Absence Data |
| create_coords_layer | Create Geographic Coordinate Layers |
| cv_bart | Cross-Validation for BART Model |
| extract_noNA_cov_values | Extract Non-NA Covariate Values |
| fit_bart_model | Fit a BART Model Using Environmental Covariate Layers |
| generate_pseudo_absences | Generate Pseudo-Absence Points Based on Presence Points, Covariates, and Study Area Polygon |
| glossa_analysis | Main Analysis Function for GLOSSA Package |
| invert_polygon | Invert a Polygon |
| layer_mask | Apply Polygon Mask to Raster Layers |
| pa_optimal_cutoff | Optimal Cutoff for Presence-Absence Prediction |
| predict_bart | Make Predictions Using a BART Model |
| remove_duplicate_points | Remove Duplicated Points from a Dataframe |
| remove_points_polygon | Remove Points Inside or Outside a Polygon |
| response_curve_bart | Calculate Response Curve Using BART Model |
| run_glossa | Run GLOSSA Shiny App |
| variable_importance | Variable Importance in BART Model |