automapPlot: Special plot function for automap

In automap: Automatic Interpolation Package

Special plot function for automap

Description

This function wraps around spplot and creates a blue-to-whitish colorscale instead of the standard bpy colorscale.

Usage

automapPlot(plot_data, zcol, col.regions, sp.layout, points,  ...)

Arguments

plot_data	A spatial object that is to be plotted, sp or sf
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.
sp.layout	An sp.layout object that can be passed to spplot, to be added to the plot
points	Points that can be added to the plot
...	other possible arguments that can be passed on to spplot.

Details

The classIntervals function from the classInt package is a good function to calculate the position of the colorbreaks.

Author(s)

Paul Hiemstra, [e-mail]

See Also

spplot, plot.autoKrige, plot.posPredictionInterval

Examples

# Ordinary kriging
library(sp)
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))

automap documentation built on April 1, 2023, 12:16 a.m.