Apply kernel smoothing to a signed measure or vector-valued measure.
Object of class
Arguments passed to
This function applies kernel smoothing to a signed measure or
X. The Gaussian kernel is used.
X would typically have been created by
A pixel image or a list of pixel images.
For scalar-valued measures, a pixel image (object of class
For vector-valued measures (or if
a list of pixel images; the list also
belongs to the class
"solist" 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.
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