RE: [ai-geostats] Re: Software for Automatic Semivariogram Estimation

2006-03-02 Thread Pierre Goovaerts
Hi,
 
They are currently writing a book that would be similar to Gslib user manual
but tailored to S-GeMS features. In the meantime, you can find some
help in the user manual available at
http://sgems.sourceforge.net/doc/sgems_manual.pdf
 
Cheers,
 
Pierre
 
Pierre Goovaerts
Chief Scientist at BioMedware
516 North State Street
Ann Arbor, MI 48104
Voice: (734) 913-1098 (ext. 8)
Fax: (734) 913-2201 
http://home.comcast.net/~goovaerts/ 



From: Mach Nife [mailto:[EMAIL PROTECTED]
Sent: Wed 3/1/2006 3:36 PM
To: Pierre Goovaerts; AI Geostats mailing list
Subject: RE: [ai-geostats] Re: Software for Automatic Semivariogram Estimation



It would be very nice if there would be a tutorial on
how to use the variogram modeler.

machnife

--- Pierre Goovaerts <[EMAIL PROTECTED]> wrote:

> Hi Susan,
> 
> I would recommend the Stanford Geostatistical
> Modeling Software (S-GeMS)
> that is public domain and that I use in all my short
> courses (some of your
> colleagues have actually be trained by me). The
> software can be downloaded from
> http://pangea.stanford.edu/~nremy/GEMS/
> 
> Cheers,
> 
> Pierre
> 
> Pierre Goovaerts
> Chief Scientist at BioMedware
> 516 North State Street
> Ann Arbor, MI 48104
> Voice: (734) 913-1098 (ext. 8)
> Fax: (734) 913-2201
> http://home.comcast.net/~goovaerts/
>
> 
>
> From: Hohner, Susan [mailto:[EMAIL PROTECTED]
> Sent: Tue 2/28/2006 1:28 PM
> To: AI Geostats mailing list
> Subject: RE: [ai-geostats] Re: Software for
> Automatic Semivariogram Estimation
>
>
>
> Yikes!
>
> 
>
> I was working through the tutorial for the
> Geostatistical Analyst Extension when this email
> discussion popped up.  Any recommendations for a
> "traditional geostatistics software package"?
>
> 
>
> Thanks,
>
> Susan
>
> 
>
> Susan Hohner, Senior Geographer
>
> Everglades Division, Mail Stop 4440
>
> South Florida Water Management District
>
> 3301 Gun Club Road, West Palm Beach, FL 33406
>
> (561) 682-6801 phone
>
> (561) 682-0100 fax
>
> [EMAIL PROTECTED]
>
> http://www.sfwmd.gov
>
> 
>
> ____
>
> From: Chaosheng Zhang
> [mailto:[EMAIL PROTECTED]
> Sent: Tuesday, February 28, 2006 12:25 PM
> To: AI Geostats mailing list
> Subject: Re: [ai-geostats] Re: Software for
> Automatic Semivariogram Estimation
>
> 
>
> Dear all,
>
> 
>
> I have the same concerns with ArcGIS Geostatistical
> Analyst Extension (v.9.1). I would use a traditional
> geostatistics software package to fit the variogram
> models in a very traditional way, and input the
> parameters to ArcGIS for kriging. It seems that
> ArcGIS has its own reasons to show variograms in a
> non-traditional way, but I find it almost impossible
> to fit the variograms mannually. You can change the
> parameters, but it is very hard to see how well they
> fit. By the way, you can change the lag distance or
> interval in ArcGIS (it is called "lag size" there).
>
> 
>
> Cheers,
>
> 
>
> Chaosheng
>
> --
> Dr. Chaosheng Zhang
> Lecturer in GIS
> Department of Geography
> National University of Ireland, Galway
> IRELAND
> Tel: +353-91-492375
> Fax: +353-91-495505
> E-mail: [EMAIL PROTECTED]
> Web1: www.nuigalway.ie/geography/zhang.html
> Web2: www.nuigalway.ie/geography/gis
>
> 
>
> 
>
>
> > * By using the ai-geostats mailing list you agree
to
> follow its rules
> ( see
> http://www.ai-geostats.org/help_ai-geostats.htm )
>
> * To unsubscribe to ai-geostats, send the following
> in the subject or in the body (plain text format) of
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>
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RE: [ai-geostats] Re: Software for Automatic Semivariogram Estimation

2006-03-01 Thread Mach Nife
It would be very nice if there would be a tutorial on
how to use the variogram modeler.

machnife

--- Pierre Goovaerts <[EMAIL PROTECTED]> wrote:

> Hi Susan,
>  
> I would recommend the Stanford Geostatistical
> Modeling Software (S-GeMS)
> that is public domain and that I use in all my short
> courses (some of your
> colleagues have actually be trained by me). The
> software can be downloaded from
> http://pangea.stanford.edu/~nremy/GEMS/
>  
> Cheers,
>  
> Pierre
>  
> Pierre Goovaerts
> Chief Scientist at BioMedware
> 516 North State Street
> Ann Arbor, MI 48104
> Voice: (734) 913-1098 (ext. 8)
> Fax: (734) 913-2201 
> http://home.comcast.net/~goovaerts/ 
> 
> 
> 
> From: Hohner, Susan [mailto:[EMAIL PROTECTED]
> Sent: Tue 2/28/2006 1:28 PM
> To: AI Geostats mailing list
> Subject: RE: [ai-geostats] Re: Software for
> Automatic Semivariogram Estimation
> 
> 
> 
> Yikes!
> 
>  
> 
> I was working through the tutorial for the
> Geostatistical Analyst Extension when this email
> discussion popped up.  Any recommendations for a
> "traditional geostatistics software package"?
> 
>  
> 
> Thanks,
> 
> Susan
> 
>  
> 
> Susan Hohner, Senior Geographer
> 
> Everglades Division, Mail Stop 4440
> 
> South Florida Water Management District
> 
> 3301 Gun Club Road, West Palm Beach, FL 33406
> 
> (561) 682-6801 phone
> 
> (561) 682-0100 fax
> 
> [EMAIL PROTECTED]
> 
> http://www.sfwmd.gov
> 
>  
> 
> ________
> 
> From: Chaosheng Zhang
> [mailto:[EMAIL PROTECTED] 
> Sent: Tuesday, February 28, 2006 12:25 PM
> To: AI Geostats mailing list
> Subject: Re: [ai-geostats] Re: Software for
> Automatic Semivariogram Estimation
> 
>  
> 
> Dear all,
> 
>  
> 
> I have the same concerns with ArcGIS Geostatistical
> Analyst Extension (v.9.1). I would use a traditional
> geostatistics software package to fit the variogram
> models in a very traditional way, and input the
> parameters to ArcGIS for kriging. It seems that
> ArcGIS has its own reasons to show variograms in a
> non-traditional way, but I find it almost impossible
> to fit the variograms mannually. You can change the
> parameters, but it is very hard to see how well they
> fit. By the way, you can change the lag distance or
> interval in ArcGIS (it is called "lag size" there).
> 
>  
> 
> Cheers,
> 
>  
> 
> Chaosheng
> 
> --
> Dr. Chaosheng Zhang
> Lecturer in GIS
> Department of Geography
> National University of Ireland, Galway
> IRELAND
> Tel: +353-91-492375
> Fax: +353-91-495505
> E-mail: [EMAIL PROTECTED]
> Web1: www.nuigalway.ie/geography/zhang.html
> Web2: www.nuigalway.ie/geography/gis
> 
>  
> 
>  
> 
> 
> > * By using the ai-geostats mailing list you agree
to
> follow its rules 
> ( see
> http://www.ai-geostats.org/help_ai-geostats.htm )
> 
> * To unsubscribe to ai-geostats, send the following
> in the subject or in the body (plain text format) of
> an email message to [EMAIL PROTECTED]
> 
> Signoff ai-geostats


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RE: [ai-geostats] Re: Software for Automatic Semivariogram Estimation

2006-03-01 Thread Luke Spadavecchia

Hi all,

for S or R users, GeoR is worth a look for auto-fitting procedures. This 
R package allows fitting of variograms (with the option of trend 
removal) via least squares (equal weights, n_pairs weights, or 'Cressie' 
weights), or computationally using maximum liklihood or REML. If you go 
for the latter you can produce profile liklihood plots for parameters 
etc. The package also will do most of the conventional flavors of 
kriging, but the main focus of the package is model based geostatistics, 
and is well demonstrated in:


DIGGLE, P.J., RIBEIRO Jr, P.J. & CHRISTENSEN, O.F. (2003) An 
introduction to model based geostatistics. /In/ Möller, J. (ed) *Spatial 
statistics and computational methods*. Lecture notes in statistics, vol. 
173, p. 43-86, Springer.


The package website is here:

http://www.est.ufpr.br/geoR/

and it can also be obtained from here:

http://cran.r-project.org/

Hope that helps

Luke
begin:vcard
fn:Luke Spadavecchia
n:Spadavecchia;Luke
org:University of Edinburgh;Biosphere Atmosphere Modelling Group
adr;dom:Mayfield Rd.;;Crew Labs; Kings Buildings;Edinburgh
email;internet:[EMAIL PROTECTED]
tel;home:0131 5166243
x-mozilla-html:FALSE
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RE: [ai-geostats] Re: Software for Automatic Semivariogram Estimation

2006-03-01 Thread Gregoire Dubois
Title: Message



Sorry.. I was meaning GeMS, not 
GMES.
 
Gregoire
 
 
__ Gregoire Dubois (Ph.D.) 
European Commission (EC) 
Joint Research Centre 
(JRC) WWW: http://www.ai-geostats.org 

"The views expressed are purely 
those of the writer and may not in any circumstances be regarded as stating an 
official position of the European Commission."

  
  -Original Message-From: Gregoire Dubois 
  [mailto:[EMAIL PROTECTED] Sent: 01 March 2006 
  09:16To: 'Hohner, Susan'Cc: 
  'ai-geostats@unil.ch'Subject: RE: [ai-geostats] Re: Software for 
  Automatic Semivariogram Estimation
  GSLIB, Gstat and GMES  (the last is not yet broadly used but time 
  will come) are free tools that can be considered nowadays as "reference 
  material".
   
  Main 
  reason for this is that source codes are available and can be properly 
  checked, this is not the case for commercial packages.
   
  ... 
  see the software section of ai-geostats (a bit old but I will work on it 
  soon)
   
  Best 
  regards,
   
  Gregoire
   
   
  __ Gregoire Dubois (Ph.D.) 
  European Commission 
  (EC) Joint Research 
  Centre (JRC) WWW: 
  http://www.ai-geostats.org 
  
  "The views expressed are purely 
  those of the writer and may not in any circumstances be regarded as stating an 
  official position of the European Commission."
  

-Original Message-From: Hohner, Susan 
[mailto:[EMAIL PROTECTED] Sent: 28 February 2006 
19:28To: AI Geostats mailing listSubject: RE: 
[ai-geostats] Re: Software for Automatic Semivariogram 
Estimation

Yikes!
 
I was working 
through the tutorial for the Geostatistical Analyst Extension 
when this email discussion popped up.  Any recommendations for a 
“traditional geostatistics software 
package”?
 
Thanks,
Susan
 

Susan 
Hohner, Senior Geographer
Everglades 
Division, Mail Stop 4440
South 
Florida Water Management District
3301 
Gun Club Road, West 
Palm Beach, FL 33406
(561) 
682-6801 phone
(561) 
682-0100 fax
[EMAIL PROTECTED]
http://www.sfwmd.gov
 




From: 
Chaosheng Zhang [mailto:[EMAIL PROTECTED] Sent: Tuesday, February 28, 2006 12:25 
PMTo: AI Geostats mailing 
    listSubject: Re: 
[ai-geostats] Re: Software for Automatic Semivariogram 
Estimation
 


Dear 
all,

 

I have the same concerns with 
ArcGIS Geostatistical Analyst Extension (v.9.1). I would use a 
traditional geostatistics software package to fit the variogram models 
in a very traditional way, and input the parameters to ArcGIS for 
kriging. It seems that ArcGIS has its own reasons to show variograms in 
a non-traditional way, but I find it almost impossible to fit the 
variograms mannually. You can change the parameters, but it is very hard to 
see how well they fit. By the way, you can change the lag distance or 
interval in ArcGIS (it is called "lag size" 
there).

 

Cheers,

 

Chaosheng

--Dr. 
Chaosheng ZhangLecturer in GISDepartment of GeographyNational 
University of Ireland, GalwayIRELANDTel: 
+353-91-492375Fax: +353-91-495505E-mail: [EMAIL PROTECTED]Web1: 
www.nuigalway.ie/geography/zhang.htmlWeb2: 
www.nuigalway.ie/geography/gis

 

 
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* To unsubscribe to ai-geostats, send the following in the subject or in the 
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RE: [ai-geostats] Re: Software for Automatic Semivariogram Estimation

2006-03-01 Thread Gregoire Dubois
Title: Message



GSLIB, 
Gstat and GMES  (the last is not yet broadly used but time will come) are 
free tools that can be considered nowadays as "reference 
material".
 
Main 
reason for this is that source codes are available and can be properly checked, 
this is not the case for commercial packages.
 
... 
see the software section of ai-geostats (a bit old but I will work on it 
soon)
 
Best 
regards,
 
Gregoire
 
 
__ Gregoire Dubois (Ph.D.) 
European Commission (EC) 
Joint Research Centre 
(JRC) WWW: http://www.ai-geostats.org 

"The views expressed are purely 
those of the writer and may not in any circumstances be regarded as stating an 
official position of the European Commission."

  
  -Original Message-From: Hohner, Susan 
  [mailto:[EMAIL PROTECTED] Sent: 28 February 2006 
  19:28To: AI Geostats mailing listSubject: RE: 
  [ai-geostats] Re: Software for Automatic Semivariogram 
  Estimation
  
  Yikes!
   
  I was working 
  through the tutorial for the Geostatistical Analyst Extension 
  when this email discussion popped up.  Any recommendations for a 
  “traditional geostatistics software 
package”?
   
  Thanks,
  Susan
   
  
  Susan 
  Hohner, Senior Geographer
  Everglades 
  Division, Mail Stop 4440
  South 
  Florida Water Management District
  3301 
  Gun Club Road, West 
  Palm Beach, FL 
  33406
  (561) 
  682-6801 phone
  (561) 
  682-0100 fax
  [EMAIL PROTECTED]
  http://www.sfwmd.gov
   
  
  
  
  
  From: 
  Chaosheng Zhang [mailto:[EMAIL PROTECTED] Sent: Tuesday, February 28, 2006 12:25 
  PMTo: AI Geostats mailing 
  listSubject: Re: 
  [ai-geostats] Re: Software for Automatic Semivariogram 
  Estimation
   
  
  
  Dear 
  all,
  
   
  
  I have the same concerns with 
  ArcGIS Geostatistical Analyst Extension (v.9.1). I would use a 
  traditional geostatistics software package to fit the variogram models in 
  a very traditional way, and input the parameters to ArcGIS for kriging. 
  It seems that ArcGIS has its own reasons to show variograms in a 
  non-traditional way, but I find it almost impossible to fit the 
  variograms mannually. You can change the parameters, but it is very hard to 
  see how well they fit. By the way, you can change the lag distance or 
  interval in ArcGIS (it is called "lag size" 
  there).
  
   
  
  Cheers,
  
   
  
  Chaosheng
  
  --Dr. 
  Chaosheng ZhangLecturer in GISDepartment of GeographyNational 
  University of Ireland, GalwayIRELANDTel: 
  +353-91-492375Fax: +353-91-495505E-mail: [EMAIL PROTECTED]Web1: 
  www.nuigalway.ie/geography/zhang.htmlWeb2: 
  www.nuigalway.ie/geography/gis
  
   
  
   
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Re: [ai-geostats] Re: Software for Automatic Semivariogram Estimation

2006-02-28 Thread Behrang Kushavand




Dear Prof. Clark
Here is the paper:
http://www.ansinet.org/fulltext/jas/jas581405-1407.pdf
Formula (4) is the weight factor.
King regards.
Behrang.
 
 - Original Message - 

  From: 
  Isobel Clark 
  To: Behrang Kushavand 
  Cc: AI Geostats mailing list 
  Sent: Tuesday, February 28, 2006 9:53 
  PM
  Subject: [ai-geostats] Re: Software for 
  Automatic Semivariogram Estimation
  
  Behrang
   
  What weighting do you use in the weighted least squares?
   
  Isobel
  http://www.kriging.comBehrang 
  Kushavand <[EMAIL PROTECTED]> 
  wrote:
  hi,I 
have a software for Variogram AUTO Modeling (winvam) that works with 
gslib(GAMV.exe).First you must calculate experimental variogram 
(omni or directional) withgamv.exe and then by using winvam, you can fit 
the best model by leastsquare and weights least square criteria for 
given model(s),You can find it 
at:http://www.ai-geostats.org/software/Geostats_software/WinVAM.htmKing 
regards.Behrang.- Original Message -From: "Edzer 
J. Pebesma" <[EMAIL PROTECTED]>To: "Mach Nife" 
<[EMAIL PROTECTED]>Cc: "ai-geostats" Sent: 
Tuesday, February 28, 2006 7:59 PMSubject: Re: [ai-geostats] Software 
for Automatic Semivariogram Estimation> Mach Nife 
wrote:>> >Hi,> >> >I'm hunting for a 
software (freeware/openSource if> >possible), that would help 
estimating the best> >possible semivariogram curve in a 
non-interactive way.> >As an example, ArcGis Geostatistical 
Analyst does a> >pretty good job at this when we accept the 
defaults.> >It does some automatic calculations for the 
parameters> >of the selected model. I've tried Gstat "Fit" 
method> >(in the command-line version), but the results 
aren't> >what I expected. What I need is a command line> 
>software or one that can be controlled by programming.> 
>> >Any ideas?> >> >>> Some. 
I did have a look at your data, and at the> ArcGIS fit window you 
sent me. Clearly, we do not> fully agree on what is to be considered 
a "good" job.> ArcGIS calculates semivariances up to the 
largest> distances present in your data set; afaik the 
general> recommendation is not to look further than half the> 
longest distance (compare acf computation in time> series); the gstat 
default is one third the diagonal> of the area spanned. Have you 
tried modifying any> of these defaults? Interval 
widths?>> When looking at the fit, it seems that ArcGIS 
shows> a couple (4?) directional variograms in a single> plot, 
but apart from that, the sample variogram suggests> a linear model. 
It is obvious that fitting three parameters> (exponential model with 
nugget) to something that> tends to be linear will lead to problems 
-- an infinite> set of solutions, for instance. When you insist 
on> having an exponential model, you could for> instance force 
the range to a certain (large) value.> I suspect ArcGIS stops 
adjusting the range of the> exponential model when it exceeds the 
data extent> (Constantin, are you with us?), but should that 
be> considered good practice?>> My experience with 
automatic, general-purpose> automatic variogram fitting are not very 
positive;> if it were, gstat would probably have such a 
function.>> Are there other ai-geostats readers who have 
positive or> negative experiences with, or who routinely 
trust,> automatically fitted variograms? Which 
software?>> Looking forward to a heated debate,> 
--> Edzer>> >machnife> >> 
>__> >Do You 
Yahoo!?> >Tired of spam? Yahoo! Mail has the best spam protection 
around> >http://mail.yahoo.com> >> >> 
>> 
>> 
>> >* By using the ai-geostats mailing list you agree to follow 
its rules> >( see http://www.ai-geostats.org/help_ai-geostats.htm 
)> >> >* To unsubscribe to ai-geostats, send the 
following in the subject or inthe body (plain text format) of an email 
message to [EMAIL PROTECTED]> >> >Signoff 
ai-geostats> 
>>>>> 
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)>> * To unsubscribe to ai-geostats, send the following in the 
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RE: [ai-geostats] Re: Software for Automatic Semivariogram Estimation

2006-02-28 Thread Pierre Goovaerts
Hi Susan,
 
I would recommend the Stanford Geostatistical Modeling Software (S-GeMS)
that is public domain and that I use in all my short courses (some of your
colleagues have actually be trained by me). The software can be downloaded from
http://pangea.stanford.edu/~nremy/GEMS/
 
Cheers,
 
Pierre
 
Pierre Goovaerts
Chief Scientist at BioMedware
516 North State Street
Ann Arbor, MI 48104
Voice: (734) 913-1098 (ext. 8)
Fax: (734) 913-2201 
http://home.comcast.net/~goovaerts/ 



From: Hohner, Susan [mailto:[EMAIL PROTECTED]
Sent: Tue 2/28/2006 1:28 PM
To: AI Geostats mailing list
Subject: RE: [ai-geostats] Re: Software for Automatic Semivariogram Estimation



Yikes!

 

I was working through the tutorial for the Geostatistical Analyst Extension 
when this email discussion popped up.  Any recommendations for a "traditional 
geostatistics software package"?

 

Thanks,

Susan

 

Susan Hohner, Senior Geographer

Everglades Division, Mail Stop 4440

South Florida Water Management District

3301 Gun Club Road, West Palm Beach, FL 33406

(561) 682-6801 phone

(561) 682-0100 fax

[EMAIL PROTECTED]

http://www.sfwmd.gov

 



From: Chaosheng Zhang [mailto:[EMAIL PROTECTED] 
Sent: Tuesday, February 28, 2006 12:25 PM
To: AI Geostats mailing list
Subject: Re: [ai-geostats] Re: Software for Automatic Semivariogram Estimation

 

Dear all,

 

I have the same concerns with ArcGIS Geostatistical Analyst Extension (v.9.1). 
I would use a traditional geostatistics software package to fit the variogram 
models in a very traditional way, and input the parameters to ArcGIS for 
kriging. It seems that ArcGIS has its own reasons to show variograms in a 
non-traditional way, but I find it almost impossible to fit the variograms 
mannually. You can change the parameters, but it is very hard to see how well 
they fit. By the way, you can change the lag distance or interval in ArcGIS (it 
is called "lag size" there).

 

Cheers,

 

Chaosheng

--
Dr. Chaosheng Zhang
Lecturer in GIS
Department of Geography
National University of Ireland, Galway
IRELAND
Tel: +353-91-492375
Fax: +353-91-495505
E-mail: [EMAIL PROTECTED]
Web1: www.nuigalway.ie/geography/zhang.html
Web2: www.nuigalway.ie/geography/gis

 

 


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[ai-geostats] Re: Software for Automatic Semivariogram Estimation

2006-02-28 Thread Isobel Clark
Ed     I use the Cressie statistic to four significant figures as a guide in the interactive fitting, but generally end up using a visual judgement. It tracks as you drag the model around, so you can watch it change.     I think the 'real' visual objective function is probably the perpendicular (to tangent) distance to the model line, which is effectively the combination of both gamma and h. One should then be able to alter the relative weighting between distance and height. Haven't tried this yet.     Isobel  http://www.kriging.com* By using the ai-geostats mailing list you agree to follow its rules 
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Re: [ai-geostats] Re: Software for Automatic Semivariogram Estimation

2006-02-28 Thread Edzer J. Pebesma

Isobel Clark wrote:


Behrang
 
What weighting do you use in the weighted least squares?
 
Isobel


I have found choosing suitable weights always a frustrating
event. Cressie's weights, let's say N_h/[(gamma(h))^2], has
attractive properties, both intuitively and statistically. Here,
gamma(h) is the model value, not the sample variogram
value (because that might be zero; think of binary data). N_h
is the number of point pairs used to estimate semivariance
at lag (interval) h.

It's downside is that while fitting the variogram, gamma(h)
changes, and so the weights change. This has consequences:
while fitting, the criterion you try to minimize may actually
increase while the fit gets better. This is hard to deal with.
If you calculate e.g. a weighted R^2, and look at the trace,
it will go up, down, and then up, down, etc. The context changes.

If you fix gamma(h), say to it's starting values, then the final
fit may very much depend on which starting values you used.

Isobel, how do you deal with this?

As an alternative, (and the default value in gstat under R or
S-Plus), I now tend to use N_h/h^2 [*], which is equivalent to
Cressie's weights for a linear variogram with no nugget. It
works often, but will give rediculusly large weight to a
semivariance value with h very close to zero (think duplicate
measurements). Besides these two, gstat has the options
of weights N_h, and of no (=constant) weights.
--
Edzer

[*] If I'm correct, this was first suggested in a paper by
Zhang and ... in Computers & Geosciences, early nineties.
I strongly disliked it then, but consider it acquired taste.

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RE: [ai-geostats] Re: Software for Automatic Semivariogram Estimation

2006-02-28 Thread Hohner, Susan








Yikes!

 

I was working through
the tutorial for the Geostatistical Analyst Extension
when this email discussion popped up.  Any recommendations for a “traditional geostatistics
software package”?

 

Thanks,

Susan

 



Susan
Hohner, Senior Geographer

Everglades Division, Mail Stop 4440

South
Florida Water Management District

3301 Gun Club Road, West Palm
  Beach, FL 33406

(561)
682-6801 phone

(561)
682-0100 fax

[EMAIL PROTECTED]

http://www.sfwmd.gov

 











From: Chaosheng Zhang
[mailto:[EMAIL PROTECTED] 
Sent: Tuesday, February 28, 2006
12:25 PM
To: AI Geostats mailing list
Subject: Re: [ai-geostats] Re:
Software for Automatic Semivariogram Estimation



 





Dear all,





 





I have the same concerns with ArcGIS Geostatistical Analyst
Extension (v.9.1). I would use a traditional geostatistics
software package to fit the variogram models in a very traditional way, and
input the parameters to ArcGIS for kriging. It seems that ArcGIS has its
own reasons to show variograms in a non-traditional way, but I find it
almost impossible to fit the variograms mannually. You can change the
parameters, but it is very hard to see how well they fit. By the way, you
can change the lag distance or interval in ArcGIS (it is called "lag size"
there).





 





Cheers,





 





Chaosheng





--
Dr. Chaosheng Zhang
Lecturer in GIS
Department of Geography
National University of Ireland, Galway
IRELAND
Tel: +353-91-492375
Fax: +353-91-495505
E-mail: [EMAIL PROTECTED]
Web1: www.nuigalway.ie/geography/zhang.html
Web2: www.nuigalway.ie/geography/gis





 





 










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[ai-geostats] Re: Software for Automatic Semivariogram Estimation

2006-02-28 Thread Isobel Clark
Behrang     What weighting do you use in the weighted least squares?     Isobel  http://www.kriging.comBehrang Kushavand <[EMAIL PROTECTED]> wrote:  hi,I have a software for Variogram AUTO Modeling (winvam) that works with gslib(GAMV.exe).First you must calculate experimental variogram (omni or directional) withgamv.exe and then by using winvam, you can fit the best model by leastsquare and weights least square criteria for given model(s),You can find it at:http://www.ai-geostats.org/software/Geostats_software/WinVAM.htmKing regards.Behrang.- Original Message -From: "Edzer J. Pebesma" <[EMAIL PROTECTED]>To: "Mach Nife" <[EMAIL PROTECTED]>Cc: "ai-geostats"
 Sent: Tuesday, February 28, 2006 7:59 PMSubject: Re: [ai-geostats] Software for Automatic Semivariogram Estimation> Mach Nife wrote:>> >Hi,> >> >I'm hunting for a software (freeware/openSource if> >possible), that would help estimating the best> >possible semivariogram curve in a non-interactive way.> >As an example, ArcGis Geostatistical Analyst does a> >pretty good job at this when we accept the defaults.> >It does some automatic calculations for the parameters> >of the selected model. I've tried Gstat "Fit" method> >(in the command-line version), but the results aren't> >what I expected. What I need is a command line> >software or one that can be controlled by programming.> >> >Any ideas?> >> >>> Some. I did have a look at your data, and at the> ArcGIS
 fit window you sent me. Clearly, we do not> fully agree on what is to be considered a "good" job.> ArcGIS calculates semivariances up to the largest> distances present in your data set; afaik the general> recommendation is not to look further than half the> longest distance (compare acf computation in time> series); the gstat default is one third the diagonal> of the area spanned. Have you tried modifying any> of these defaults? Interval widths?>> When looking at the fit, it seems that ArcGIS shows> a couple (4?) directional variograms in a single> plot, but apart from that, the sample variogram suggests> a linear model. It is obvious that fitting three parameters> (exponential model with nugget) to something that> tends to be linear will lead to problems -- an infinite> set of solutions, for instance. When you insist on> having an exponential model, you could
 for> instance force the range to a certain (large) value.> I suspect ArcGIS stops adjusting the range of the> exponential model when it exceeds the data extent> (Constantin, are you with us?), but should that be> considered good practice?>> My experience with automatic, general-purpose> automatic variogram fitting are not very positive;> if it were, gstat would probably have such a function.>> Are there other ai-geostats readers who have positive or> negative experiences with, or who routinely trust,> automatically fitted variograms? Which software?>> Looking forward to a heated debate,> --> Edzer>> >machnife> >> >__> >Do You Yahoo!?> >Tired of spam? Yahoo! Mail has the best spam protection around> >http://mail.yahoo.com> >>
 >> >> >> >> >* By using the ai-geostats mailing list you agree to follow its rules> >( see http://www.ai-geostats.org/help_ai-geostats.htm )> >> >* To unsubscribe to ai-geostats, send the following in the subject or inthe body (plain text format) of an email message to [EMAIL PROTECTED]> >> >Signoff ai-geostats> > * By using the ai-geostats mailing list you agree to follow its rules> ( see http://www.ai-geostats.org/help_ai-geostats.htm )>> * To unsubscribe to ai-geostats, send the following in the subject or inthe body (plain text format) of an email message to [EMAIL PROTECTED]>> Signoff ai-geostats  * By using the ai-geostats mailing list you agree to follow its rules 
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Re: [ai-geostats] Re: Software for Automatic Semivariogram Estimation

2006-02-28 Thread Chaosheng Zhang




Dear all,
 
I have the same concerns with ArcGIS Geostatistical Analyst Extension 
(v.9.1). I would use a traditional geostatistics software package 
to fit the variogram models in a very traditional way, and input the parameters 
to ArcGIS for kriging. It seems that ArcGIS has its own reasons to 
show variograms in a non-traditional way, but I find it almost 
impossible to fit the variograms mannually. You can change the parameters, 
but it is very hard to see how well they fit. By the way, you can change 
the lag distance or interval in ArcGIS (it is called "lag size" there).
 
Cheers,
 
Chaosheng
--Dr. Chaosheng ZhangLecturer in GISDepartment 
of GeographyNational University of Ireland, GalwayIRELANDTel: 
+353-91-492375Fax: +353-91-495505E-mail: [EMAIL PROTECTED]Web1: 
www.nuigalway.ie/geography/zhang.htmlWeb2: 
www.nuigalway.ie/geography/gis
 
 
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[ai-geostats] Re: Software for Automatic Semivariogram Estimation

2006-02-28 Thread Isobel Clark
Hi All     It is difficult to have an automatic best fit semi-variogram until you define what you mean by "best fit". Noel Cressie's goodness of fit statistic goes a long way towards the ideal, but is very insensitive to changes in nugget effect and pretty insensitive to fairly large changes in the ranges. Optimal Cressie fits aren't always optimal visually, either.     None of the automated methods I've heard of will choose the type of semi-variogram model and/or the number of nested components. Or anisotropy for the most part.     As Ed says, if we knew the criteria we'd all write software for it (and retire!).      I also look forward to varied opinions. Semi-variogram fitting is one of the most subjective stages of a geostatistical analysis.     Isobel http://www.kriging.com* By using the ai-geostats mailing list you agree to follow its rules 
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