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cff-version: 1.2.0
message: 'To cite package "HazardMaps" in publications use:'
type: software
license: MIT
title: 'HazardMaps: Spatial Dependence Modeling and Pseudoscenario Generation for
  Natural Hazards'
version: 0.1.0
doi: 10.32614/CRAN.package.HazardMaps
abstract: 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:
- family-names: Clavijo Mesa
  given-names: Maria Valentina
  email: valentina.clavijo@polimi.it
  orcid: https://orcid.org/0000-0001-6052-5771
repository: https://ropensci-staging.r-universe.dev
repository-code: https://github.com/Valentina9619/HazardMaps
commit: 2e0b715bab7f5fec3e58aa3721bbba329aabd6bd
url: https://valentina9619.github.io/HazardMaps/
date-released: '2026-10-15'
contact:
- family-names: Clavijo Mesa
  given-names: Maria Valentina
  email: valentina.clavijo@polimi.it
  orcid: https://orcid.org/0000-0001-6052-5771