Smooth.msr {spatstat}R Documentation

Smooth a Signed or Vector-Valued Measure

Description

Apply kernel smoothing to a signed measure or vector-valued measure.

Usage

 ## S3 method for class 'msr'
Smooth(X, ..., drop=TRUE)

Arguments

X

Object of class "msr" representing a signed measure or vector-valued measure.

...

Arguments passed to density.ppp controlling the smoothing bandwidth and the pixel resolution.

drop

Logical. If TRUE (the default), the result of smoothing a scalar-valued measure is a pixel image. If FALSE, the result of smoothing a scalar-valued measure is a list containing one pixel image.

Details

This function applies kernel smoothing to a signed measure or vector-valued measure X. The Gaussian kernel is used.

The object X would typically have been created by residuals.ppm or msr.

Value

A pixel image or a list of pixel images. For scalar-valued measures, a pixel image (object of class "im") provided drop=TRUE. For vector-valued measures (or if drop=FALSE), a list of pixel images; the list also belongs to the class "listof" so that it can be printed and plotted.

Author(s)

Adrian Baddeley Adrian.Baddeley@uwa.edu.au http://www.maths.uwa.edu.au/~adrian/

References

Baddeley, A., Turner, R., Moller, J. and Hazelton, M. (2005) Residual analysis for spatial point processes. Journal of the Royal Statistical Society, Series B 67, 617–666.

Baddeley, A., Moller, J. and Pakes, A.G. (2008) Properties of residuals for spatial point processes. Annals of the Institute of Statistical Mathematics 60, 627–649.

See Also

Smooth, msr, plot.msr

Examples

   example(msr)
   plot(Smooth(rp))
   plot(Smooth(rs))
[Package spatstat version 1.38-1 Index]