variogramModelPlot.logratioVariogram: Quick plotting of empirical and theoretical logratio...

In gmGeostats: Geostatistics for Compositional Analysis

Quick plotting of empirical and theoretical logratio variograms Quick and dirty plotting of empirical logratio variograms with or without their models

Description

Quick plotting of empirical and theoretical logratio variograms Quick and dirty plotting of empirical logratio variograms with or without their models

Usage

## S3 method for class 'logratioVariogram'
variogramModelPlot(vg, model = NULL, col = rev(rainbow(ndirections(vg))), ...)

Arguments

vg	empirical variogram or covariance function
model	optional, theoretical variogram or covariance function
col	colors to use for the several directional variograms
...	further parameters to plot.logratioVariogramAnisotropy()

Value

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(...)).

See Also

Other variogramModelPlot: variogramModelPlot.gstatVariogram(), variogramModelPlot()

gmGeostats documentation built on April 18, 2023, 5:08 p.m.