plot.autoKrige: Plot methods in automap

In automap: Automatic Interpolation Package

Plot methods in automap

Description

Defines methods to plot objects in automap.

Usage

## S3 method for class 'autoKrige'
plot(x, sp.layout = NULL, ...)
## S3 method for class 'posPredictionInterval'
plot(x, sp.layout = NULL, justPosition = TRUE, main = "Position prediction interval", ...)

Arguments

x	the object to plot (of class autoKrige or posPredictionInterval)
sp.layout	An object that can contain lines, points and polygons that function as extra layout.
justPosition	logical, if FALSE: not only the plot with the position of the prediction interval is plotted, but also plots with the upper and lower limits of the prediction interval.
main	Title of the plot for the position of the prediction interval.
...	arguments passed to lattice functions xyplot, spplot or plot.sf

Details

For a detailed description of how sp.layout is constructed see spplot.

Author(s)

Paul Hiemstra, [e-mail]

See Also

spplot, autoKrige, posPredictionInterval

Examples

# Ordinary kriging
library(sp)
library(sf)
data(meuse)
coordinates(meuse) =~ x+y
data(meuse.grid)
gridded(meuse.grid) =~ x+y

kriging_result = autoKrige(log(zinc)~1, meuse, meuse.grid)
# Adding the sp.layout parameter shows the locations of the measurements
plot(kriging_result, sp.layout = list(pts = list("sp.points", meuse)))

meuse = as(meuse, "sf")
meuse.grid = as(meuse.grid, "sf")

kriging_result = autoKrige(log(zinc)~1, meuse, meuse.grid)
# Adding the meuse points shows the locations of the measurements
plot(kriging_result, points = meuse)

automap documentation built on Sept. 11, 2024, 6:23 p.m.