Smooth a Signed or Vector-Valued Measure
Apply kernel smoothing to a signed measure or vector-valued measure.
- Object of class
"msr"representing a signed measure or vector-valued measure.
- Arguments passed to
density.pppcontrolling the smoothing bandwidth and the pixel resolution.
This function applies kernel smoothing to a signed measure or
X. The Gaussian kernel is used.
- 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.
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))