Smooth.msr

0th

Percentile

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, ...)
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.
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

  • For signed measures, a pixel image (object of class "im"). For vector-valued measures, 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

Aliases
  • Smooth.msr
Documentation reproduced from package spatstat, version 1.36-0, License: GPL (>= 2)

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