AI-GEOSTATS: conferences and courses

2001-04-24 Thread Isobel Clark

Hi all

I hope no-one will be offended by this e-mail. 

Given the recent problems with the main Web site, I
hope no-one will mind if I remind you all that
sandwiched between:

AAPG in Denver 3-6 June 2001

and the SIAM conference in Boulder 11-14 June 2001

we are holding the Zero to Kriging in 30 hours course
at the IGWMC in Golden, Colorado 7-10 June 2001.

Anyone who registers and turns up the day before is
invited to my birthday party on 6th!!

Details on the course and all other IGWMC activities
can be found at
http://www.mines.edu/research/igwmc/short-course/geostat.htm

Isobel Clark
http://uk.geocities.com/geoecosse/news.html


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AI-GEOSTATS: Kriging colour

2001-04-24 Thread WARR Benjamin
Title: Kriging colour





Dear All,


I am interested in kriging colour (soil colour - of course) and was thinking. Colour is perceived via 3 photoreceptors on the retina, therefore 3 variables are rnecessary and sufficient to represent any colour. Numerical manipulation of Munsell colour codes does not appear to be in any way resonable, then there are the CIE and RGB systems. CIE has 3 variables XYZ and RGB clearly red, green and blue. The RGB system appears the most easily understood. Each variable can range from 0-255, and the variables are additive. The question is does anyone have any experience of constraining the estimates to lie between 0-255, or any ideas about the possible necessity of co-kriging,

thanks


Benjamin Warr 
Research Associate to Prof. Ayres,
Geostatistician, Environmental Scientist.


Postal Address:
Centre for the Management of Environmental Resources (CMER)
INSEAD
Boulevard de Constance,
77305 Fontainebleau Cedex,
France


Tel: 33 (0)1 60 72 4456
Fax: 33 (0)1 60 74 55 64
e-mail: [EMAIL PROTECTED]





Re: AI-GEOSTATS: Kriging colour

2001-04-24 Thread Nicholas Lewin-Koh

hi,
Isn't it more natural to think about kriging in the CIE luv or lab color
space
since they are uniform and closer to the munsel color space which is used
in the field. Interpolation in RGB space seems like a bad idea, and
could give wierd results. Also aren't there adbrupt discontinuities in
color betweensoil horizons? is color varying smoothly?  
But I think CIE LUV or LAB makes alot more sense.

Nicholas

 CH3
  |
  N Nicholas Lewin-Koh
 / \Dept of Statistics
   NC   C==OProgram in Ecology and Evolutionary Biology
  ||   ||   |   Iowa State University
  ||   ||   |   Ames, IA 50011
  CHC   N--CH3  http://www.public.iastate.edu/~nlewin
\  / \ /[EMAIL PROTECTED]
 NC
 |   || Currently
CH3   O Graphics Lab
School of Computing
National University of Singapore
 The Real Part of Coffee[EMAIL PROTECTED]

On Tue, 24 Apr 2001, WARR Benjamin wrote:

> Dear All,
> 
> I am interested in kriging colour (soil colour - of course) and was
> thinking. Colour is perceived via 3 photoreceptors on the retina, therefore
> 3 variables are rnecessary and sufficient to represent any colour. Numerical
> manipulation of Munsell colour codes does not appear to be in any way
> resonable, then there are the CIE and RGB systems. CIE has 3 variables XYZ
> and RGB clearly red, green and blue. The RGB system appears the most easily
> understood. Each variable can range from 0-255, and the variables are
> additive. The question is does anyone have any experience of constraining
> the estimates to lie between 0-255, or any ideas about the possible
> necessity of co-kriging,
> 
> thanks
> 
> Benjamin Warr 
> Research Associate to Prof. Ayres,
> Geostatistician, Environmental Scientist.
> 
> Postal Address:
> Centre for the Management of Environmental Resources (CMER)
> INSEAD
> Boulevard de Constance,
> 77305 Fontainebleau Cedex,
> France
> 
> Tel: 33 (0)1 60 72 4456
> Fax: 33 (0)1 60 74 55 64
> e-mail: [EMAIL PROTECTED]
> 
> 


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Re: AI-GEOSTATS: Kriging colour

2001-04-24 Thread Isobel Clark

Benjamin

Just a thought. Since your actual colour is a
combination of the three primary colours, could you
perhaps do a principal components analysis on the
three 0-255 colour levels?

This would have two effects:

(1) would give you variables which expressed the
'combined' colour

(2) would highlight the different 'populations' of
soil with markedly different colour characteristics.

We have used a similar approach to distinguish between
limestone types in quarries and for 'brightness' of
china clays.

Isobel Clark


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Re: AI-GEOSTATS: Kriging colour

2001-04-24 Thread Laura Kracker

Yes, in fact, check out this work by William Hargrove at Oak Ridge.  It
is a very effective way to visualize color data weighted by PCA results. 

His paper on clustering of ecoregions:
http://www.esri.com/library/userconf/proc97/proc97/to250/pap226/p226.htm

His home page:
http://research.esd.ornl.gov/~hnw/

Laura Kracker

Isobel Clark wrote:
> 
> Benjamin
> 
> Just a thought. Since your actual colour is a
> combination of the three primary colours, could you
> perhaps do a principal components analysis on the
> three 0-255 colour levels?
> 
> This would have two effects:
> 
> (1) would give you variables which expressed the
> 'combined' colour
> 
> (2) would highlight the different 'populations' of
> soil with markedly different colour characteristics.
> 
> We have used a similar approach to distinguish between
> limestone types in quarries and for 'brightness' of
> china clays.
> 
> Isobel Clark
> 
> 
> Do You Yahoo!?
> Get your free @yahoo.co.uk address at http://mail.yahoo.co.uk
> or your free @yahoo.ie address at http://mail.yahoo.ie
> 
> --
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>responses to your questions.
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-- 
Laura M. Kracker, Phd.
Research Scientist/GIS Specialist
JHT contractor to:
Center for Coastal Environmental Health
  and Biomolecular Research (CCEHBR)
NOAA/National Ocean Service
219 Fort Johnson Road
Charleston, SC 29412-9100
Phone:  843-762-8640
Fax:843-762-8700
e-mail: [EMAIL PROTECTED]
http://www.chbr.noaa.gov
-

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