| plot.gstatVariogram {gstat} | R Documentation |
Creates a variogram plot
## S3 method for class 'gstatVariogram':
plot(x, model = NULL, ylim, xlim, xlab = "distance",
ylab = "semivariance", panel = vgm.panel.xyplot, multipanel = TRUE, plot.numbers = FALSE,
scales, ids = x$id, group.id = TRUE, skip, layout, ...)
## S3 method for class 'variogramMap':
plot(x, np = FALSE, skip, threshold, ...)
x |
object of class "gstatVariogram", obtained from the function variogram, possibly containing directional or cross variograms |
model |
in case of a single variogram: a variogram model, as obtained from vgm or fit.variogram, to be drawn as a line in the variogram plot; in case of a set of variograms and cross variograms: a list with variogram models |
ylim |
numeric vector of length 2, limits of the y-axis |
xlim |
numeric vector of length 2, limits of the x-axis |
xlab |
x-axis label |
ylab |
y-axis label |
panel |
panel function |
multipanel |
logical; if TRUE, directional variograms are plotted in different panels, if FALSE, directional variograms are plotted in the same graph, using color, colored lines and symbols to distinguish them |
plot.numbers |
logical or numeric; if TRUE, plot number of point pairs next to each plotted semivariance symbol, if FALSE these are omitted. If numeric, TRUE is assumed and the value is passed as the relative distance to be used between symbols and numeric text values (default 0.03). |
scales |
optional argument that will be passed to xyplot in
case of the plotting of variograms and cross variograms; use the value
list(relation = "same") if y-axes need to share scales |
ids |
ids of the data variables and variable pairs |
group.id |
logical; control for directional multivariate variograms: if TRUE, panels divide direction and colors indicate variables (ids), if FALSE panels divide variables/variable pairs and colors indicate direction |
skip |
logical; can be used to arrange panels, see xyplot |
layout |
integer vector; can be used to set panel layout: c(ncol,nrow) |
np |
logical (only for plotting variogram maps); if TRUE, plot number of point pairs, if FALSE plot semivariances |
threshold |
semivariogram map values based on fewer point pairs than threshold will not be plotted |
... |
any arguments that will be passed to the panel plotting functions
(such as auto.key in examples below) |
returns (or plots) the variogram plot
currently, plotting models and/or point pair numbers is not supported when a variogram is both directional and multivariable; also, three-dimensional directional variograms will probably not be displayed correctly.
Edzer J. Pebesma
variogram, fit.variogram, vgm variogramLine,
data(meuse)
coordinates(meuse) = ~x+y
vgm1 <- variogram(log(zinc)~1, meuse)
plot(vgm1)
model.1 <- fit.variogram(vgm1,vgm(1,"Sph",300,1))
plot(vgm1, model=model.1)
plot(vgm1, plot.numbers = TRUE, pch = "+")
vgm2 <- variogram(log(zinc)~1, meuse, alpha=c(0,45,90,135))
plot(vgm2)
# the following demonstrates plotting of directional models:
model.2 <- vgm(.59,"Sph",926,.06,anis=c(0,0.3))
plot(vgm2, model=model.2)
g = gstat(NULL, "zinc < 200", I(zinc<200)~1, meuse)
g = gstat(g, "zinc < 400", I(zinc<400)~1, meuse)
g = gstat(g, "zinc < 800", I(zinc<800)~1, meuse)
# calculate multivariable, directional variogram:
v = variogram(g, alpha=c(0,45,90,135))
plot(v, group.id = FALSE, auto.key = TRUE) # id and id pairs panels
plot(v, group.id = TRUE, auto.key = TRUE) # direction panels
# variogram maps:
plot(variogram(g, cutoff=1000, width=100, map=TRUE),
main = "(cross) semivariance maps")
plot(variogram(g, cutoff=1000, width=100, map=TRUE), np=TRUE,
main = "number of point pairs")