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Package: HazardMaps 0.1.0

Maria Valentina Clavijo Mesa

HazardMaps: Spatial Dependence Modeling and Pseudoscenario Generation for Natural Hazards

An R package for reproducible analysis of spatial dependence in environmental and climate-related variables. The package provides a unified workflow to ingest spatial datasets, estimate and visualize spatial correlation structures, fit multiple dependence models including vine copulas (C-vine and D-vine), Gaussian models, and stochastic fields, and compare them using quantitative indicators to support model selection. Based on the selected model, the package enables the generation of spatially dependent pseudoscenarios for uncertainty analysis and simulation studies. The design emphasizes numerical robustness, modularity, and reproducibility across heterogeneous spatial data sources.

Authors:Maria Valentina Clavijo Mesa [aut, cre]

HazardMaps_0.1.0.tar.gz
HazardMaps_0.1.0.tgz(r-4.6-any)HazardMaps_0.1.0.tgz(r-4.5-any)
HazardMaps_0.1.0.tar.gz(r-4.7-any)HazardMaps_0.1.0.tar.gz(r-4.6-any)
HazardMaps_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
HazardMaps/json (API)

# Install 'HazardMaps' in R:

install.packages('HazardMaps', repos = c('https://ropensci-staging.r-universe.dev', 'https://cloud.r-project.org'))

Reviews:rOpenSci Software Review #()

Bug tracker:https://github.com/valentina9619/hazardmaps/issues

Pkgdown/docs site:https://valentina9619.github.io

On CRAN:

3.40 score 26 exports 18 dependencies

Last updated from:b2e1b24ab3. Checks:7 OK, 3 FAILURE. Indexed: no.

Target	Result	Time
linux-devel	OK	2908
pkgdown docs	OK	1074
source / vignettes	OK	803
linux-release	OK	3234
macos-release	OK	2055
macos-oldrel	OK	2130
windows-devel	FAILURE	3722
windows-release	FAILURE	3678
windows-oldrel	FAILURE	3675
wasm-release	OK	127

Exports:hm_cluster_size hm_decode_time hm_distance_matrix hm_empirical_correlogram hm_empirical_kendall hm_filter_land_cells hm_fit_copula hm_fit_correlation_model hm_fit_marginals hm_get_grid_geometry hm_marginal_gof hm_pit_transform hm_plot_best_dist hm_plot_correlogram hm_plot_dist_frequency hm_plot_exceedance hm_plot_exceedance_time hm_plot_marginal_fit hm_plot_spatial_domain hm_read_netcdf hm_select_extreme_events hm_simulate_copula hm_simulate_sf_kle hm_standardize_coords hm_summarise_events hm_to_matrix

Dependencies:cli cpp11 farver ggplot2 glue gtable isoband labeling lifecycle ncdf4 R6 RColorBrewer rlang S7 scales vctrs viridisLite withr

Spatial correlation modeling of environmental extremes with HazardMaps

Rendered fromtutorial.Rmdusingknitr::rmarkdown

Last update: 2026-10-06
Started: 2026-10-06

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

Package: HazardMaps 0.1.0

HazardMaps: Spatial Dependence Modeling and Pseudoscenario Generation for Natural Hazards

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