This function produces an image or perspective plot of a selected
element
of the predictive distribution
returned by the function krige.bayes
.
# S3 method for krige.bayes
image(x, locations, borders,
values.to.plot=c("mean", "variance",
"mean.simulations", "variance.simulations",
"quantiles", "probabilities", "simulation"),
number.col, coords.data, x.leg, y.leg, messages, ...)
# S3 method for krige.bayes
contour(x, locations, borders,
values.to.plot = c("mean", "variance",
"mean.simulations", "variance.simulations",
"quantiles", "probabilities", "simulation"),
filled=FALSE, number.col, coords.data,
x.leg, y.leg, messages, ...)
# S3 method for krige.bayes
persp(x, locations, borders,
values.to.plot=c("mean", "variance",
"mean.simulations", "variance.simulations",
"quantiles", "probabilities", "simulation"),
number.col, messages, ...)
An image
or persp
plot is produced on the
current graphics device. No values are returned.
an object of the class krige.bayes
, typically an
output of the function krige.bayes
.
an \(n \times 2\) matrix with the
coordinates of the prediction locations, which should define a
regular grid
in order to be plotted by image
or
persp
. By default does not need to be provided and
evaluates the attribute "prediction.locations" from the input object.
an \(n \times 2\) matrix with the
coordinates defining the borders of a region inside the grid defined
by locations
. Elements in the
argument values
are assigned to locations internal to the
borders and NA
's to the external ones.
select the element of the predictive distribution to be plotted. See DETAILS below.
logical. If FALSE
the function
contour
is used otherwise
filled.contour
. Defaults to FALSE
.
Specifies the number of the column to be plotted.
Only used if previous argument is set to one of "quantiles"
,
"probabilities"
or "simulation"
.
optional. If an \(n \times 2\) matrix with the data coordinates is provided, points indicating the data locations are included in the plot.
limits for the legend in the horizontal and vertical directions.
Paulo J. Ribeiro Jr. paulojus@leg.ufpr.br,
Peter J. Diggle p.diggle@lancaster.ac.uk.
The function krige.bayes
returns
summaries and other results about the predictive distributions.
The argument values.to.plot
specifies which result will be
plotted. It can be passed to the function in two different forms:
a vector with the object containing the values to be plotted, or
one of the following options: "moments.mean"
,
"moments.variance"
,
"mean.simulations"
,
"variance.simulations"
,
"quantiles"
,
"probability"
or
"simulation"
.
For the last three options, if the results are stored in matrices,
a column number must be provided using the argument number.col
.
The documentation for the function krige.bayes
provides
further details about these options.
Further information on the package geoR can be found at:
http://www.leg.ufpr.br/geoR/.
#See examples in the documentation for the function krige.bayes().
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