Utilities for plotting pilot semivariograms or fitted models.
plot.fitsvar
plots a fitted variogram model.
plot.svar.bin
plots the binned semivariances.
plot.np.svar
plots a local polynomial estimate of the semivariogram.
# S3 method for class 'fitsvar'
plot(
x,
y = NULL,
legend = TRUE,
xlab = "distance",
ylab = "semivariance",
xlim = NULL,
ylim = c(0, 1.25 * max(x$fit$sv, na.rm = TRUE)),
lwd = c(1, 2),
add = FALSE,
...
)
# S3 method for class 'svar.bin'
plot(
x,
y = NULL,
xlab = "distance",
ylab = "semivariance",
xlim = NULL,
ylim = c(0, max(x$biny, na.rm = TRUE)),
add = FALSE,
...
)
# S3 method for class 'np.svar'
plot(
x,
y = NULL,
xlab = "distance",
ylab = "semivariance",
xlim = NULL,
ylim = c(0, max(x$biny, na.rm = TRUE)),
add = FALSE,
...
)
a variogram object. Typically an output of functions
np.svariso
or fitsvar.sb.iso
.
ignored argument.
logical; if TRUE
(default), a legend is added to the plot.
label for the x axis (defaults to "distance").
label for the y axis (defaults to "semivariance").
x-limits.
y-limits.
line widths for points (estimates) and lines (fitted model) respectively.
logical; if TRUE
the semivariogram plot is just added
to the existing plot.
additional graphical parameters (see par
).
No return value, called for side effects (generate the plot).