SpatialExtremes: Statistical Models for Spatial Extreme Events

SpatialExtremes is a software package for the statistical modelling of spatial extremes, created by Mathieu Ribatet. It provides tools for simulation, analysis, fitting, and prediction using max-stable processes, copula, and Bayesian hierarchical models. The package is supported by key statistical references including Davison et al. (2012), Padoan et al. (2010), and Dombry et al. (2013).

Use Cases

• Simulating extreme spatial events based on parametric max-stable models mentioned in the description
• Analyzing extremal spatial dependence for environmental risk assessment based on the package's statistical tools
• Fitting spatial extreme models using composite likelihoods or least squares as described
• Implementing Bayesian hierarchical models for spatial extremes using the described Gibbs sampler

Strengths

• Implements multiple established statistical approaches for spatial extremes, including max-stable processes, copula, and Bayesian hierarchical models.
• Includes specific, peer-reviewed methodological references (Davison et al. 2012, Padoan et al. 2010, Dombry et al. 2013).
• Provides tools for a complete modelling workflow: simulation, analysis, fitting, checking, selection, and prediction.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Mathieu Ribatet

Collection Method

Software package for statistical modelling.