extcoeff: Plots the extremal coefficient

In SpatialExtremes: Modelling Spatial Extremes

Plots the extremal coefficient

Description

Plots the extremal coefficient evolution as the coordinates evolves.

Usage

extcoeff(fitted, cov.mod, param, n = 200, xlab, ylab, ...)

Arguments

fitted	A object of class "maxstab". Most often, it will be the output of the function fitmaxstab. If missing, then cov.mod and param should be supplied.
cov.mod	A character string corresponding the the covariance model in the max-stable representation. Must be one of "gauss" for the Smith's model; or "whitmat", "cauchy" or "powexp" for the Whittle-Matern, the Cauchy and the Powered Exponential covariance family with the Schlather's model. May be missing if fitted is given.
param	Numeric vector of length 3. The parameters for the Smith's or Schlather model - i.e. c(cov11, cov12, cov22) or c(nugget, range, smooth). Please respect this order.
n	Numeric. n^2 corresponds to the total number of estimated extremal coefficients for the contour plot.
xlab,ylab	The x-axis and y-axis labels. May be missing.
...	Several options to be passed to the contour function.

Value

A plot.

Author(s)

Mathieu Ribatet

See Also

fitmaxstab

Examples

## 1- Random field generation
n.site <- 30
locations <- matrix(runif(2*n.site, 0, 10), ncol = 2)
colnames(locations) <- c("lon", "lat")

data <- rmaxstab(60, locations, cov.mod = "whitmat", nugget = 0, range =
3, smooth = 1)

## 2- Fit a max-stable processes
schlather <- fitmaxstab(data, locations, "whitmat", nugget = 0)

## 3- Plot the extremal coefficient
extcoeff(schlather)

SpatialExtremes documentation built on April 19, 2022, 5:06 p.m.