spatstat - how to choose an optimal bandwidth for smooth.ppp?

Hi,
I dont know if there is an equivalent method to MSE for the density of
weighted points or the same method would apply, but for the question on
the default bandwith in smooth.ppp, you can see that smooth.ppp calls
density.ppp, and here, if not sigma is given, it takes sigma as  1/8 of
the minimum windows side. From the code of density.ppp:


 w <- x$window
        sigma <- (1/8) * min(diff(w$xrange), diff(w$yrange))

Cheers,

Marcelino


Con fecha 31/8/2011, "Mathieu Rajerison" <mathieu.rajerison at gmail.com>
escribi?:

Hi,


I know how to determine an optimal bandwidth for the kernel density of
points using mean suared error method as possible with splancs package.

But I was wondering if there was an equivalent method for the density of
weighted points as performed by spatstat::smooth.ppp
Also,how is bandwidth chosen by default when launching smooth.ppp(X)?


Thanks,

Mathieu

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