geoR: lines.variomodel – R documentation

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lines.variomodel

Adds a Line with a Variogram Model to a Variogram Plot

Description

This function adds a line with a variogram model specifyed by the user to a current variogram plot. The variogram is specifyed either by passing a list with values for the variogram elements or using each argument in the function.

Usage

## S3 method for class 'variomodel'
lines(x, ...)
## Default S3 method:
lines.variomodel(x, cov.model, cov.pars, nugget, kappa,
                          max.dist, scaled = FALSE, ...)

Arguments

`x`	a list with the values for the following components: `cov.model`, `cov.pars`, `nugget`, `kappa` , `max.dist`; or a numeric vector with values for x-axis values for the variogram (distances). This argument is not required if the other arguments in the function are provided, otherwise is compulsory. If a list is provided the arguments which match the list elements are ignored.
`cov.model`	a string with the type of the variogram function. See documentation of `cov.spatial` for further details.
`cov.pars`	a vector or matrix with the values for the partial sill (sigmasq) and range (phi) parameters.
`nugget`	a scalar with the value of the nugget (tausq) parameter.
`kappa`	a scalar with the value of the smoothness (kappa) parameters. Only required if `cov.model` is one of the following: `"matern"`, `"powered.exponential"`, `"cauchy"` and `"gneiting.matern"`
`max.dist`	maximum distance (x-axis) to compute and draw the line representing the variogram model. If a list is provided in `x` the default is the distance given by `x$max.dist`. If a vector is provided in `x` it takes `max(x)`.
`scaled`	logical. If `TRUE` the total sill in the plot is equals to 1.
`...`	arguments to be passed to the function `curve`.

Details

Adds a line with a variogram model to a plot. In conjuction with plot.variogram can be used for instance to compare sample variograms against fitted models returned by variofit and/or likfit.

Value

A line with a variogram model is added to a plot on the current graphics device. No values are returned.

Author(s)

Paulo Justiniano Ribeiro Jr. paulojus@leg.ufpr.br,
Peter J. Diggle p.diggle@lancaster.ac.uk.

References

Further information on the package geoR can be found at:
http://www.leg.ufpr.br/geoR.

Examples

# computing and ploting empirical variogram
vario <- variog(s100, max.dist = 1)
plot(vario)
# estimating parameters by weighted least squares
vario.wls <- variofit(vario, ini = c(1, .3), fix.nugget = TRUE)
# adding fitted model to the plot  
lines(vario.wls)
#
# Ploting different variogram models
plot(0:1, 0:1, type="n")
lines.variomodel(cov.model = "exp", cov.pars = c(.7, .25), nug = 0.3, max.dist = 1) 
# an alternative way to do this is:
my.model <- list(cov.model = "exp", cov.pars = c(.7, .25), nugget = 0.3,
max.dist = 1) 
lines.variomodel(my.model, lwd = 2)
# now adding another model
lines.variomodel(cov.m = "mat", cov.p = c(.7, .25), nug = 0.3,
                 max.dist = 1, kappa = 1, lty = 2)
# adding the so-called "nested" models
# two exponential structures
lines.variomodel(seq(0,1,l=101), cov.model="exp",
                 cov.pars=rbind(c(0.6,0.15),c(0.4,0.25)), nug=0, col=2)
## exponential and spherical structures
lines.variomodel(seq(0,1,l=101), cov.model=c("exp", "sph"),
                 cov.pars=rbind(c(0.6,0.15), c(0.4,0.75)), nug=0, col=3)

geoR

Analysis of Geostatistical Data

v1.8-1

GPL (>= 2)

Authors

Paulo J. Ribeiro Jr [aut, cre] <paulojus@ufpr.br>, Peter J. Diggle [aut, cre] <p.diggle@lancaster.ac.uk> Ole Christensen [ctb], Martin Schlather [ctb], Roger Bivand [ctb], Brian Ripley [ctb]

Initial release

2020-02-08