| plot.variogram {geoR} | R Documentation |
Plots sample (empirical) variogram computed using the
function variog.
## S3 method for class 'variogram':
plot(x, max.dist, vario.col = "all", scaled = FALSE,
var.lines = FALSE, envelope.obj = NULL,
pts.range.cex, bin.cloud = FALSE, ...)
x |
an object of the class "variogram", typically an
output of the function variog. |
max.dist |
maximum distance for the x-axis. The default is the maximum distance for which the sample variogram was computed. |
vario.col |
only used if obj has information on more than
one empirical variogram. The default "all" indicates that
variograms of all variables should be plotted. Alternativelly a
numerical vector can be used to select variables. |
scaled |
If TRUE the variogram values are divided by the
sample variance. This allows comparison of variograms
of variables measured in different scales. |
var.lines |
If TRUE a horizontal line is drawn at the value
of the variance of the data (if scaled = F) or at 1 (if
scaled = T). |
envelope.obj |
adds a variogram envelope computed by
the function variog.model.env or
variog.mc.env. |
pts.range.cex |
optional. A two elements vector with maximum and
minimum values for the caracter expansion factor cex. If
provided the point sizes in binned variogram are proportional to the
number of pairs of points used to compute each bin. |
bin.cloud |
logical. If TRUE
and the sample variogram
was computed with the option keep.cloud = TRUE, box-plots
of values at each bin are plotted instead of the empirical
variograms. |
... |
other arguments to be passed to the function
plot or matplot |
This function plots empirical variograms.
Toghether with lines.variogram
can be used to compare sample variograms of different variables
and
to compare variogram models against the
empirical variogram.
It uses the function matplot when plotting variograms
for more them one variable.
Produces a plot with the sample variogram 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 on the package geoR can be found at:
http://www.leg.ufpr.br/geoR.
variog for variogram calculations,
lines.variogram and lines.variomodel for
adding lines to the current plot,
variog.model.env and variog.mc.env for
variogram envelops computation, matplot for multiple
lines plot
and plot for generic plot function.
op <- par(no.readonly = TRUE) sim <- grf(100, cov.pars=c(1, .2)) # simulates data vario <- variog(sim, max.dist=1) # computes sample variogram par(mfrow=c(2,2)) plot(vario) # the sample variogram plot(vario, scaled = TRUE) # the scaled sample variogram plot(vario, max.dist = 1) # limiting the maximum distance plot(vario, pts.range = c(1,3)) # points sizes proportional to number of pairs par(op)