area_of_applicability   Area of applicability of a spatial prediction
                        model
assign_features_to_polygons
                        Assign features to polygons and attach a
                        polygon ID
build_tessellation      Build a tessellation (Voronoi, Delaunay
                        triangles, hex grid, or square grid)
clear_fitted_cache      Clear cached fitted values for a Bayesian
                        spatial model
clear_grid_cache        Clear the in-session grid cache
clip_target_for         Build a polygonal clip target from points
                        and/or a boundary
coef.bayesian_fit       Extract Bayesian model fixed-effect summaries
coef.gwr_fit            Extract GWR local coefficients
coef.rf_fit             Coefficients are undefined for a random forest
coerce_to_points        Coerce arbitrary geometries to representative
                        points
compare_models          Side-by-side comparison of fitted spatial
                        models
compare_models_cv       Cross-validated comparison of spatial models
create_grid_polygons    Create square or hexagonal grid polygons over a
                        boundary
create_grid_polygons_cached
                        Create and cache grid polygons over a boundary
create_voronoi_polygons
                        Create Voronoi polygons from points with robust
                        CRS and optional clipping
cv_bayes                K-fold cross-validation for the Bayesian
                        spatial model
cv_gwr                  K-fold cross-validation for GWR
cv_rf                   Cross-validate a random forest with spatial
                        folds
cv_spatial              Model-agnostic spatial cross-validation
determine_optimal_levels
                        Determine an optimal number of spatial levels
                        via an elbow heuristic
ensure_projected        Ensure an object has a projected CRS (with
                        sensible defaults)
ensure_stable_poly_id   Create deterministic, stable polygon IDs based
                        on spatial sort keys
estimate_sac_range      Estimate the spatial autocorrelation range from
                        data
evaluate_insample       Compute in-sample (or out-of-sample) metrics
                        for fitted spatial models
fit_bayesian_spatial_model
                        Fit a Bayesian spatial regression with a 2D
                        Gaussian Process (via brms)
fit_gwr_model           Fit a Geographically Weighted Regression (GWR)
                        via GWmodel
fit_rf_model            Fit a random forest via ranger
fitted.bayesian_fit     In-sample fitted values from a Bayesian spatial
                        GP fit
fitted.gwr_fit          In-sample fitted values from a GWR fit
fitted.rf_fit           Out-of-bag predictions from a random forest fit
get_voronoi_seeds       Generate seed points for Voronoi tessellation
gp_lengthscale_bounds   Heuristic length-scale bounds for a
                        squared-exponential GP
gwr_model_selection     Forward model selection for geographically
                        weighted regression
harmonize_crs           Harmonize CRS between two spatial objects
make_folds              Create spatial cross-validation folds
model_metrics           Compute goodness-of-fit metrics for a spatial
                        model
new_spatial_fit         Build a spatial_fit S3 object
plot.spatial_fit        Plot a fitted spatial model
plot_folds              Map a cross-validation fold scheme
plot_tessellation_map   Plot a tessellation map with optional boundary,
                        seeds, and features
predict.bayesian_fit    Predict from a Bayesian spatial GP model
predict.gwr_fit         Predict from a GWR spatial model
predict.rf_fit          Predict from a random forest fit
predict_surface         Predict a fitted spatial model onto a regular
                        grid
prep_model_data         Prepare and sanitize an sf dataset for spatial
                        modeling
print.aoa               Print an area-of-applicability result
print.gwr_model_selection
                        Print a GWR model selection result
print.rf_fit            Print a random forest fit
print.sac_range         Print a spatial autocorrelation range
print.spatial_fit       Print a fitted spatial model
residual_morans_i       Compute Moran's I on the residuals of a fitted
                        spatial model
residuals.bayesian_fit
                        In-sample residuals from a Bayesian spatial GP
                        fit
residuals.gwr_fit       In-sample residuals from a GWR fit
residuals.rf_fit        Out-of-bag residuals from a random forest fit
select_features_forward
                        Greedy forward feature selection with spatially
                        blocked inner folds
spatialkit_quiet        Quieten (or restore) spatialkit's console log
summarize_by_cell       Summarize features by polygon/cell ID
summary.spatial_fit     Summarise a fitted spatial model
voronoi_seeds_kmeans    K-means seed generation from point coordinates
voronoi_seeds_random    Random seed generation within a polygonal
                        boundary
