USHCNTemp

<p>Summer maxima/Winter minima temperatures over the years 1911--2010
  observed at 424 weather stations located in continental USA.</p>

datasets

Tools for the statistical modelling of spatial extremes using max-stable processes, copula or Bayesian hierarchical models. More precisely, this package allows (conditional) simulations from various parametric max-stable models, analysis of the extremal spatial dependence, the fitting of such processes using composite likelihoods or least square (simple max-stable processes only), model checking and selection and prediction. Other approaches (although not completely in agreement with the extreme value theory) are available such as the use of (spatial) copula and Bayesian hierarchical models assuming the so-called conditional assumptions. The latter approaches is handled through an (efficient) Gibbs sampler. Some key references: Davison et al. (2012) <doi:10.1214/11-STS376>, Padoan et al. (2010) <doi:10.1198/jasa.2009.tm08577>, Dombry et al. (2013) <doi:10.1093/biomet/ass067>.

Mathieu Ribatet

SpatialExtremes

Modelling Spatial Extremes

Richard Singleton

R Core team 

USHCNTemp function

<p>This data set contains three R objects: 'maxima.summer',
  'minima.winter' and 'metadata'. 'maxima.summer' is a 100 by 424 matrix
  giving the temperature in degrees, each column correspond to one
  location. 'minima.winter is a 99 by 424 matrix giving the temperature
  in degrees, each column correspond to one location. 'metadata' is a
  424 by 5 data frame giving station identifier, the longitude,
  latitude, elevation and the state for each station.</p>

USHCNTemp: Summer/Winter annual maxima/minima temperature in continental US.

Description

Usage

Arguments

Format

Examples