smooth.msr {spatstat} | R Documentation |
Apply kernel smoothing to a signed measure or vector-valued measure.
smooth.msr(X, ...)
X |
Object of class |
... |
Arguments passed to |
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
.
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.
Adrian Baddeley Adrian.Baddeley@csiro.au http://www.maths.uwa.edu.au/~adrian/
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.
example(msr) plot(smooth.msr(rp)) plot(smooth.msr(rs))