plotIntamap {intamap} | R Documentation |
Plotting function for intamap
-objects of the type described in
intamap-package
plotIntamap(object, zcol = "all", sp.layout = NULL, plotMat = c(2,2), ...) ## S3 method for class 'copula': plot(x, ...) ## S3 method for class 'idw': plot(x, ...) ## S3 method for class 'automap': plot(x, ...) ## S3 method for class 'linearVariogram': plot(x, ...) ## S3 method for class 'transGaussian': plot(x, ...) ## S3 method for class 'yamamoto': plot(x, ...)
object |
a list object. Most arguments necessary for interpolation
are passed through this object. See intamap-package for further
description of the necessary content of this variable |
x |
intamap object, when plot is called directly |
zcol |
a list of column names to be plotted; if equal to all, the column names
will correspond to all possible column names from outputWhat
(see createIntamapObject ) |
sp.layout |
an object that can contain lines, points and polygons that function as extra layout;
see spplot for more information |
plotMat |
an array of lengt two with the number of rows and columns of plots per page |
... |
other parameters that can be passed to other plot functions (e.g.
plot , spplot , automapPlot
and xyplot |
All the plot methods above are simple wrapper functions around the plotIntamap function.
A plot of some of the elements of object
. This will typically be the
sample variogram and the fitted variogram model (if a method based on variograms
has been used) and all the predictions.
Jon Olav Skoien
data(meuse) meuse$value = log(meuse$zinc) data(meuse.grid) coordinates(meuse) = ~x+y coordinates(meuse.grid) = ~x+y object = interpolate(meuse,meuse.grid,outputWhat = list(mean = TRUE, variance = TRUE, excprob = 7, excprob = 8, quantile = 0.9, quantile = 0.95),methodName = "automap") plot(object)