| image.grf {geoR} | R Documentation |
Methods for image, contour or perspective plot of a
realisation of a Gaussian
random field, simulated using the function grf.
## S3 method for class 'grf': image(x, sim.number = 1, borders, x.leg, y.leg, ...) ## S3 method for class 'grf': contour(x, sim.number = 1, borders, filled = FALSE, ...) ## S3 method for class 'grf': persp(x, sim.number = 1, borders, ...)
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. |
An image or perspective plot is produced on the current graphics device. No values are returned.
Paulo Justiniano Ribeiro Jr. paulojus@leg.ufpr.br,
Peter J. Diggle p.diggle@lancaster.ac.uk.
Further information about the package geoR can be found at:
http://www.leg.ufpr.br/geoR.
grf for simulation of Gaussian random fields,
image and persp for the generic plotting
functions.
# 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)