Package index • HazardMaps

All functions

hm_cluster_size(): Compute spatial cluster sizes of extreme events
hm_decode_time(): Decode the NetCDF time axis
hm_distance_matrix(): Compute pairwise haversine distances between grid cells
hm_empirical_correlogram(): Compute the empirical spatial correlogram
hm_empirical_kendall(): Compute the empirical pairwise Kendall correlation matrix
hm_filter_land_cells(): Remove sea and no-data cells from a hazard matrix
hm_fit_copula(): Fit a spatial copula model to the uniform PIT data
hm_fit_correlation_model(): Fit a parametric spatial correlation model to the empirical correlogram
hm_fit_marginals(): Fit marginal distributions to each grid cell
hm_get_grid_geometry(): Extract grid geometry
hm_marginal_gof(): Goodness-of-fit diagnostics for a single grid cell
hm_pit_transform(): Apply the Probability Integral Transform
hm_plot_best_dist(): Plot best-fitting marginal distribution by grid cell
hm_plot_correlogram(): Plot the empirical spatial correlogram
hm_plot_dist_frequency(): Plot frequency of best-fitting marginal distribution families
hm_plot_exceedance(): Plot threshold exceedances
hm_plot_exceedance_time(): Plot extreme-event days over time
hm_plot_marginal_fit(): Plot marginal fit diagnostics for a single grid cell
hm_plot_spatial_domain(): Plot spatial domain grid
hm_read_netcdf(): Read a hazard NetCDF dataset
hm_select_extreme_events(): Select extreme-event days by threshold
hm_simulate_copula(): Simulate spatially coherent hazard scenarios from a fitted copula
hm_simulate_sf_kle(): Simulate hazard scenarios via Karhunen-Loève Expansion
hm_standardize_coords(): Standardize spatial coordinates
hm_summarise_events(): Summarise retained extreme-event days
hm_to_matrix(): Convert hazard array to a time-by-cell matrix