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
ssed below.
Best
regards,
Gregoire
-Original Message-From: seba
[mailto:[EMAIL PROTECTED] Sent: 30 August 2005
18:17To: ai-geostats@unil.chSubject: [ai-geostats]
natural neighbor applied to indicator transforms Dear
list membersI would like to have some comments, s
] natural neighbor applied to indicator
transforms
Dear list members
I would like to have some comments, suggestions or critics about the
following topic:
building a (preliminary) local uncertainty model of the spatial
distribution of discrete (categorical) variables by means of natural
neighbor
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):
@unil.ch
Subject: [ai-geostats] natural neighbor applied to indicator transforms
Dear list members
I would like to have some comments, suggestions or critics about the
following topic:
building a (preliminary) local uncertainty model of the spatial
distribution of discrete (categorical) variables
Dear list members
I would like to have some comments, suggestions or critics about the
following topic:
building a (preliminary) local uncertainty model of the spatial
distribution of discrete (categorical) variables by means of natural
neighbor interpolation method applied to indicator
