Smooth.msr

From spatstat v1.41-1 by Adrian Baddeley

Smooth a Signed or Vector-Valued Measure

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.

References

Baddeley, A., Turner, R., latex{Mller{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., latex{Mller{Moller}, J. and Pakes, A.G. (2008) Properties of residuals for spatial point processes. Annals of the Institute of Statistical Mathematics 60, 627--649. } [object Object] Smooth, msr, plot.msr example(msr) plot(Smooth(rp)) plot(Smooth(rs)) spatial models

Documentation reproduced from package spatstat, version 1.41-1, License: GPL (>= 2)

Community examples

Looks like there are no examples yet.