| map {SpatialExtremes} | R Documentation |
Produces a 2D map from a fitted max-stable process.
map(fitted, param = "quant", ..., ret.per = 100, ranges = apply(fitted$coord, 2, range), n = 80, col = terrain.colors(n), plot.contour = TRUE)
fitted |
An object of class maxstab. Most often, it will
be the output of the function fitmaxstab. |
param |
A character string. Must be one of "loc", "scale", "shape" or "quant" for a map of the location, scale, shape parameters or for a map of a specified quantile. |
... |
Several arguments to be passed to the link{image}
and contour functions. |
ret.per |
A numeric giving the return period for which the
quantile map is plotted. It is only required if param =
"quant". |
ranges |
A 2 by 2 matrix gving the ranges for the x and y axis. Each column corresponds to one axis. |
n |
Integer giving the grid size for the map. It will need n^2 computations. |
col |
A list of colors such as that generated by 'rainbow', 'heat.colors', 'topo.colors', 'terrain.colors' or similar functions. |
plot.contour |
Logical. If TRUE (default), contour lines
are added to the plot. |
A plot. Additionally, a list with the details for plotting the map is returned invisibly.
Mathieu Ribatet
condmap, filled.contour,
heatmap, heat.colors,
topo.colors, terrain.colors,
rainbow
## Not run:
require(RandomFields)
##Define the coordinate of each location
n.site <- 30
locations <- matrix(runif(2*n.site, 0, 10), ncol = 2)
colnames(locations) <- c("lon", "lat")
##Simulate a max-stable process - with unit Frechet margins
ms0 <- MaxStableRF(locations[,1], locations[,2], grid=FALSE, model="wh",
param=c(0,1,0,30, .5), maxstable="extr",
n = 40)
ms0 <- t(ms0)
ms1 <- ms0
##Now define the spatial model for the GEV parameters
param.loc <- -10 - 4 * locations[,1] + locations[,2]^2
param.scale <- 5 + locations[,1] + locations[,2]^2 / 10
param.shape <- rep(.2, n.site)
##Transform the unit Frechet margins to GEV
for (i in 1:n.site)
ms1[,i] <- param.scale[i] * (ms1[,i]^param.shape[i] - 1) /
param.shape[i] + param.loc[i]
##Define a model for the GEV margins to be fitted
##shape ~ 1 stands for the GEV shape parameter is constant
##over the region
loc.form <- loc ~ lon + I(lat^2)
scale.form <- scale ~ lon + I(lat^2)
shape.form <- shape ~ lat + lon
## 1- Fit a max-stable process
schlather <- fitmaxstab(ms1, locations, "whitmat", loc.form, scale.form,
shape.form)
## 2- Produce a map of the location, scale and shape parameters
map(schlather, "loc", col = rainbow(80))
title("Location")
map(schlather, "scale", col = heat.colors(80))
title("Scale")
map(schlather, "shape", col = topo.colors(100))
title("Shape")
## 3- Produce a map for the 50 years return level
new.ranges <- cbind(c(0, 15), c(0, 15))
colnames(new.ranges) <- c("lon", "lat")
map(schlather, "quant", ret.per = 50 , ranges = new.ranges)
title("50-year return level")
## End(Not run)