image.grf

From geoR v1.8-1 by Paulo Ribeiro Jr

Image, Contour or Perspective Plot of Simulated Gaussian Random Field

Methods for image, contour or perspective plot of a realisation of a Gaussian random field, simulated using the function grf.

Keywords: spatial, dplot

Usage

# S3 method for grf
image(x, sim.number = 1, borders, x.leg, y.leg, …)
# S3 method for grf
contour(x, sim.number = 1, borders, filled = FALSE, …)
# S3 method for grf
persp(x, sim.number = 1, borders, …)

Arguments

x: an object of the class grf, typically an output of the function grf.
sim.number: simulation number. Indicates the number of the simulation top be plotted. Only valid if the object contains more than one simulation. Defaults to 1.
borders: optional. Typically a two coluns matrix especifying a polygon. Points outside the borders will be set no NA
x.leg, y.leg: limits for the legend in the horizontal and vertical directions.
filled: logical. If FALSE the function contour is used otherwise filled.contour. Defaults to FALSE.
…: further arguments to be passed to the functions image, contour or persp.

Value

An image or perspective plot is produced on the current graphics device. No values are returned.

References

Further information about the package geoR can be found at: http://www.leg.ufpr.br/geoR.

Examples

# NOT RUN {
# generating 4 simulations of a Gaussian random field
sim <- grf(441, grid="reg", cov.pars=c(1, .25), nsim=4)
op <- par(no.readonly = TRUE)
par(mfrow=c(2,2), mar=c(3,3,1,1), mgp = c(2,1,0))
for (i in 1:4)
  image(sim, sim.n=i)
par(op)
# }

Documentation reproduced from package geoR, version 1.8-1, License: GPL (>= 2)

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