[R-sig-Geo] Intensity Estimation Methods

[Cenk İÇÖZ]

Thanks a lot.
I did superimpose the original pattern to pixel images of intensities. With adaptive smothing intensity higher zones are too narrowed.
Also the differences of intensities are getting higher in the study region. The fixed bandwidth choosen with bw.ppl( ) in spatstat give me a better Picture. This is my opinion and also this is in my case . I use this bandwidth as a global bandwidth for adaptive smoothing.


-----Original Message-----
From: Rolf Turner [mailto:r.turner at auckland.ac.nz]
Sent: Thursday, December 14, 2017 11:14 PM
To: Cenk İÇÖZ <cicoz at anadolu.edu.tr>
Cc: r-sig-geo at r-project.org; Adrian.Baddeley at curtin.edu.au; Ege Rubak <rubak at math.aau.dk>
Subject: Re: [R-sig-Geo] Intensity Estimation Methods

On 15/12/17 01:01, Cenk İÇÖZ via R-sig-Geo wrote:
> Hello list,,
>
> I have a spatial point pattern . I am trying to estimate its intensity
> both with a fixed bandwidth and  with an adaptive bandwidth. How could
> I compare the goodness of these two fits? I mean are there any things
> like mse, aic or any other criteria??? I want to compare the
> difference between the estimated intensity and the original pattern's
> intensity.

I think that the following fortune (fortunes::fortune(340)) might be
relevant:

> Bandwidth selection is an unresolved (and possibly unsolvable) problem
> in smoothing, so you're perfectly justified in trying/choosing an
> arbitrary value if it produces good pictures!
>    -- Adrian Baddeley (answering a user's question about the choice of
>       smoothing parameter when using the density.ppp() function from the
>       spatstat package)
>       private communication (March 2013)

I am cc-ing to the man himself to see if he has further comment.

cheers,

Rolf Turner

--
Technical Editor ANZJS
Department of Statistics
University of Auckland
Phone: +64-9-373-7599 ext. 88276


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