Title: Message
Ciao
Sebastiano,
I
realized nobody replied to your question (sorry for have added confusion here).
I
don't see any objection in applying any interpolator to probability
values.
However, you should better use exact interpolators to
avoid getting probabilities of
-
From: Gregoire Dubois [mailto:[EMAIL PROTECTED]
Sent: Mon 9/5/2005 7:00 AM
To: 'seba'; ai-geostats@unil.ch
Cc:
Subject: RE: [ai-geostats] natural neighbor applied to indicator
transforms
Ciao Sebastiano,
I realized
will be one).
Pierre
-Original Message-
From: Gregoire Dubois [mailto:[EMAIL PROTECTED]
Sent: Mon 9/5/2005 7:00 AM
To: 'seba'; ai-geostats@unil.ch
Cc:
Subject: RE: [ai-geostats] natural neighbor applied to indicator
transforms
Ciao
I try to reformulate my question.
When performing direct (i.e. without crossvariogram) indicator kriging,
practically we interpolate probability values by means of ordinary
kriging. These probability values could represent the probability of
occurrence of some category or the probability to
Title: Message
I
recently attended a presentation about the mapping of soil properties. Kriging
was applied and I was wondering why a regression technique was used instead of a
classification algorithm.
Delineating soil properties seemed to be, at first sight, a
classification problem than
Hi Gregorie
Well, I think that classification could be viewed as a way of
coding of information in sampled areas. In particular for soil
properties continuos or fuzzy classification seems to work properly.
Then, avoiding to talk about the non-convexity of kriging, we can
interpolate before or
To answer to Gregoire's question, for some comparisons between SVM and
Indicator Kriging, here is a very basic paper (from 1999):
http://baikal-bangkok.org/~nicolas/publi/acai99-svm.pdf
and a thesis chapter (chapter 6), perhaps more interesting (from 2002):
I'm also forwarding this answer from Dr Samy Bengio who hasn't
subscribed to ai-geostats. His e-mail address is available at the end of
his e-mail.
Best regards
--
Nicolas Gilardi
Particle Physics Experiment group
University of Edinburgh, JCMB
Edinburgh EH9 3JZ, United Kingdoms
tel: +44
