smooth.msr
From spatstat v1.29-0
by Adrian Baddeley
Smooth a Signed or Vector-Valued Measure
Apply kernel smoothing to a signed measure or vector-valued measure.
Usage
smooth.msr(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., 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
Examples
example(msr)
plot(smooth.msr(rp))
plot(smooth.msr(rs))
Community examples
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