automap: posPredictionInterval – R documentation

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posPredictionInterval

Determines the position of the p% prediction interval

Description

This function calculates the p% prediction interval and determines the position of this interval relative to value. This can be higher, lower or not distinguishable.

Usage

posPredictionInterval(krige_object, 
                      p = 95, 
                      value = median(krige_object$krige_output$var1.pred))

Arguments

`krige_object`	The result of from the autoKrige procedure. This is expected to be a autoKrige-object.
`p`	The `p`% percent prediction interval is compared to value
`value`	The value to which the the `p`% prediction interval compared

Value

The output object is of class posPredictionInterval and contains the results of the function in an Spatial-class object similar to the one in the input object. This means that if the input object containes a grid, the results are also returned on that same grid. Also included in the return object are the values for p and value.

Author(s)

Paul Hiemstra, paul@numbertheory.nl

Examples

data(meuse)
coordinates(meuse) =~ x+y
data(meuse.grid)
gridded(meuse.grid) =~ x+y

kriging_result = autoKrige(zinc~1, meuse, meuse.grid)
pos = posPredictionInterval(kriging_result, 95, 75)
plot(pos)

automap

Automatic interpolation package

v1.0-14

GPL

Authors

Paul Hiemstra <paul@numbertheory.nl>

Initial release

2013/08/27