| automapPlot {automap} | R Documentation |
This function wraps around spplot and creates a blue-to-whitish colorscale instead of the standard bpy colorscale. The limits of the colorscale are calculated from the data using the classInt package.
automapPlot(plot_data,
zcol,
col.regions,
...)
plot_data |
A spatial object that is to be plotted |
zcol |
The name of the column from plot_data you want to use. Can also be a list. |
col.regions |
Choose a colors that specify the fill colours. |
... |
arguments that are passed on to spplot. A sp.layout object for example. |
A good function to calculate the position of the colorbreaks the classIntervals function from the classInt package.
Paul Hiemstra, p.hiemstra@geo.uu.nl
classIntervals, spplot, plot.autoKrige, plot.posPredictionInterval
# Ordinary kriging
data(meuse)
coordinates(meuse) =~ x+y
data(meuse.grid)
gridded(meuse.grid) =~ x+y
kriging_result = autoKrige(zinc~1, meuse, meuse.grid)
# Adding the sp.layout parameter shows the locations of the measurements
automapPlot(kriging_result$krige_output, "var1.pred",
sp.layout = list("sp.points", meuse))