Quick plotting of empirical and theoretical logratio variograms Quick and dirty plotting of empirical logratio variograms with or without their models
# S3 method for logratioVariogram
variogramModelPlot(vg, model = NULL, col = rev(rainbow(ndirections(vg))), ...)
The function is primarily called for producing a plot. However, it
invisibly returns the graphical parameters active before the call
occurred. This is useful for constructing complex diagrams, by adding layers
of info. If you want to "freeze" your plot, embed your call in another
call to par
, e.g. par(variogramModelPlot(...))
.
empirical variogram or covariance function
optional, theoretical variogram or covariance function
colors to use for the several directional variograms
further parameters to plot.logratioVariogramAnisotropy()
Other variogramModelPlot:
variogramModelPlot.gstatVariogram()
,
variogramModelPlot()