image.grf
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
.
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 functiongrf
.- 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 functioncontour
is used otherwisefilled.contour
. Defaults toFALSE
.- …
further arguments to be passed to the functions
image
,contour
orpersp
.
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.
See Also
grf
for simulation of Gaussian random fields,
image
and persp
for the generic plotting
functions.
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)
# }