There was a wonderful series of lecture notes called "Lectures in
Pattern Theory" by Ulf Grenander, which I requested and received via
US postal service way back in the late 80's. I still have it, and
still look at it occasionally. I don't know whether it was ever
published.
Kathy
At 9:38 AM -0700 8/29/01, Robert P. Goldman wrote:
>I don't know if this is specific enough to be helpful, but in addition to
>conventional Bayes nets, this actually sounds very similar to the spatial
>reasoning that was done in machine vision work by Geman and Geman. Their
>paper on this, which is a classic, can be found in Shafer and Pearl's book
>Readings in Uncertain Reasoning, published by Morgan Kaufmann. Here's a
>citation:
>
>@ARTICLE{Geman:84,
> AUTHOR = {Stuart Geman and Donald Geman},
> TITLE = {Stochastic relaxation, Gibbs distributions and the Bayesian
> restoration of images},
> JOURNAL = PAMI,
> YEAR = {1984},
> VOLUME = {6},
> note = {Republished in \cite{UNCReadings}},
> PAGES = {721-741}
>}
>
>PAMI is the IEEE Proceedings on Pattern Analysis and Machine Intelligence.
>
>A great deal of vision work like this was done at the Brown University
>Department of Applied Mathematics by Geman, Ulf Grenander and others. The
>central theme was to take a grid of pixels and treat it as a Markov Field,
>and then find interpretations as optimal labelings. Higher level processes
>could also be represented (e.g. edges) as influences on the pixel random
>variables. The geographical analogy should be clear.
>
>I'm afraid I haven't tracked this work, so I can't provide more up-to-date
>citations.
>
>Best,
>R
>
>- -----Original Message-----
>From: owner-uai@cs.orst.edu [mailto:owner-uai@cs.orst.edu]On Behalf Of
>Scott Wooldridge
>Sent: Monday, August 27, 2001 8:54 PM
>To: uai@cs.orst.edu
>Subject: [UAI] BBNs for GIS models
>
>
>
>Hi,
>
>I am looking to undertake a spatial risk assessment for the Great =
>Barrier Reef Marine Park, which will take into considertaion the =
>combined influences of cyclones, bleaching (elevated SST), flood plumes, =
>and crown-of-thorn starfish (COTS). For example I would like to be able =
>to provide a solution to the question, "What is the likelihood that a =
>given coral reef will receive damage (of a certain degree) within a =
>given time-frame".
>
>Sufficient spatial predictive modelling has been done for all quantities =
>(perhaps not the COTS), for me to assign the likelihood of occurrence =
>for each hazard for different return periods. Obviously there is some =
>correlation in the occurence of the different hazards (e.g. =
>cyclone/flood plumes). The data sources can also be considered to be of =
>different spatial resolution and accuracy.=20
>
>I like the thought of being able to frame the combined risk assessment =
>in terms of a spatial Bayesian Belief Network.=20
>
>Is anyone aware of any software/code that has been written which could =
>adequately address the spatial nature of this problem (i.e. BBN within a =
>raster/GIS based structure)?
>
>I have no practical experience with the implementation of BBNs and would =
>enjoy hearing people's comments on the suitability of BBNs to the above =
>problem.
>
>Any better suggestions?
>
>
>Many Thanks,
>
>scott
>- ----------------------------------------------------------------------------
>Dr Scott Wooldridge
>
>Spatial Analyst, Reef Futures Group
>Australian Institute of Marine Science
>PMB No. 3, Townsville MC Qld 4810
>
>Telephone: (07) 47534334
>Facsimile: (07) 47725852=20
>E-mail: s.wooldridge@aims.gov.au
>
>"the future belongs to those who see the possibilities before they =
>become obvious" Theodore Leavitt
>
>
>------- End of Forwarded Message
------- End of Forwarded Message
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