Re: AI-GEOSTATS: moving averages and trend

2010-02-02 Thread Paul Hiemstra
-1098 (ext. 202)
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Re: AI-GEOSTATS: (2) Geostatistics in pain

2010-01-08 Thread Paul Hiemstra
 to a point if a large study area is used.  I've 
read other places that among the commercial stat packages, SAS is best at handling large 
data sets.  Is this true?  Also, I've produced my own little routine in IDRISI that can 
create 'random' samples that are clustered by inverse distance, so that short lags are 
preferred.  Are there any software packages that can create a random sample of points 
that show a pre-specified clustering pattern in space?

 JanWMerks wrote:
I read with a great deal of interest your emessage about Geostatistics in pain. 
Read what I have found out. Real statistics turned into surreal geostatistics under the 
guidance of Professor Dr Georges Matheron...

 Sebastiano:
In general I agree with the comments reported in the preceding replies. Then I 
would add that the problem, if any one exists, doesn't relies on the lack of a good gui 
but maybe on the lack of a kind of standard  and internationally accepted set of 
programming routines directed to geostatistical analysis. As a final consideration I 
think that the world of spatial analysis is more complex than in the past and a kind of 
holistic view and is needed. For example I'm thinking to other techniques based on 
statistical learning theory,data mining, etc...

 Paul wrote:
Being an R user myself (gstat, automap) I would like to comment a little on 
your problem with command line tools. I think what is most important is that 
each application has its own best tool to use. When a novice user wants to 
quickly make some maps, a GUI would probably be the preferred tool. But if you, 
as in my case, want to interpolate thousands of maps, put them on a webservice 
and allow user to get those maps from the web, a GUI tool such as ArcGIS is 
probably not the best option. R is great for these kinds of large analysis. In 
addition, I'm a Linux user and would not trade my command line for any GUI :). 
Therefore I believe a GUI is not per definition better than command line. It's 
just that people are used to GUI nowadays, making command line seem old. I 
agree that it takes quite some time to learn R and that it is not a tool 
suitable for the casual user. A great combo would be a tool that has the 
flexibility and power of R and the ease of use
 of e.g. ArcGIS.Hope you find a solution that suits your particular needs.
End of Log ==

King Regards,
 
Younes



  
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Drs. Paul Hiemstra
Department of Physical Geography
Faculty of Geosciences
University of Utrecht
Heidelberglaan 2
P.O. Box 80.115
3508 TC Utrecht
Phone:  +3130 274 3113 Mon-Tue
Phone:  +3130 253 5773 Wed-Fri
http://intamap.geo.uu.nl/~paul



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Re: AI-GEOSTATS: (1) Geostatistics in pain

2010-01-07 Thread Paul Hiemstra

Younes Fadakar wrote:

Hi there,

This is my first message as a test message checking the usage of the service, 
working with ai-geostats mailing list. I have many questions to ask you too.
To start:
The world of Geostatistics seriously needs a tool to present well to novices and professionals. Current availabilities have many of disadvantages. Some are too old, others not user-friendly and the rest more expensive. 
1- GsLib seems powerful but too old (DOS-command line in 2010!)

2- WinGsLib is completely confusing despite of logging and automating! no 
direct input and output!!
3- Variowin is too weak in terms of GUI!
4- mGstat as a Matlab toolbox written too complex not handy program!
5- GeoR as an extention for R makes you to work with R such a command-line 
environment! what a development rather than GsLib!!
  

Hi Younes,

Being an R user myself (gstat, automap) I would like to comment a little 
on your problem with command line tools. I think what is most important 
is that each application has its own best tool to use. When a novice 
user wants to quickly make some maps, a GUI would probably be the 
preferred tool. But if you, as in my case, want to interpolate thousands 
of maps, put them on a webservice and allow user to get those maps from 
the web, a GUI tool such as ArcGIS is probably not the best option. R is 
great for these kinds of large analysis. In addition, I'm a Linux user 
and would not trade my command line for any GUI :). Therefore I believe 
a GUI is not per definition better than command line. It's just that 
people are used to GUI nowadays, making command line seem old.


I agree that it takes quite some time to learn R and that it is not a 
tool suitable for the casual user. A great combo would be a tool that 
has the flexibility and power of R and the ease of use of e.g. ArcGIS.


Hope you find a solution that suits your particular needs.

cheers,
Paul

6- Isatis is more expensive; for what?!
7- Gs+ is in pain with weak performance of GUI!
8- Geoeas is something funny just to remember DOS graphics!
9- ...
So obviously a serious request remained for more than 20 years without suitable 
answer!
Why?
 


Younes


  
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--
Drs. Paul Hiemstra
Department of Physical Geography
Faculty of Geosciences
University of Utrecht
Heidelberglaan 2
P.O. Box 80.115
3508 TC Utrecht
Phone:  +3130 274 3113 Mon-Tue
Phone:  +3130 253 5773 Wed-Fri
http://intamap.geo.uu.nl/~paul

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Re: AI-GEOSTATS: Bringing in ascii DTM file from ArcGIS with -9999 NAN values for KED

2009-11-04 Thread Paul Hiemstra

Hi Tobin,

Tobin Cara wrote:

Hello,
 
I am having problems with kriging an ascii file DTM from ArcGIS which 
has many - (no data) values. Do these normally have to be removed 
first? I want to make the elevation DTM the predictor base for the 
kriging with external drift.
I would remove them, in this case no prediction would be made at these 
locations.
 
My code is the following:

elev - read.asciigrid(elev.asc, as.image=FALSE, plot.image=TRUE)
str(elev)
elev_ked - krige(meanRain~Zloc, locations=meanRain, newdata=elev, 
model=fitted_vario)
 
Error in model.frame.default(terms(formula), as(data, data.frame)) :

  object is not a matrix
Your object is not a matrix. It is hard to give more detail without a 
piece of R code that reproduces your problem. This particular error 
message doesn't ring a bell with me. As other people already suggested, 
use the r-sig-geo mailing list for these kinds of questions. This 
mailing list is for general discussion, on r-sig-geo you'll get far more 
response.
 
My data file meanRain has X Y Z coordinates and Precipitation values 
(4 columns).
 
Thank you so much for your time and help!


Cara


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Department of Physical Geography
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University of Utrecht
Heidelberglaan 2
P.O. Box 80.115
3508 TC Utrecht
Phone:  +3130 274 3113 Mon-Tue
Phone:  +3130 253 5773 Wed-Fri
http://intamap.geo.uu.nl/~paul

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AI-GEOSTATS: Re: [R-sig-Geo] [R-sig-geo] Interpolation of measures with measurement errors

2009-09-28 Thread Paul Hiemstra

Hi,

Have a look at this:

http://books.google.com/books?id=5n_XuL2Wx1ECpg=PA94lpg=PA94dq=interpolating+with+measurement+errorsource=blots=837gfXTqC4sig=qzOg_9cuDDa_Nk5j71b_7P-1iqohl=enei=bcDASriyJ5De-QbJjeHKAQsa=Xoi=book_resultct=resultresnum=3#v=onepageq=interpolating%20with%20measurement%20errorf=false

third hit when googling for interpolating with measurement error

cheers,
Paul

note replying from the r-sig-geo list, also cc'ing the ai-geostats list

Enrico Guastaldi wrote:

Dear list members,
I'm looking for some kind of interpolation for values of an
environmental variable which has been measured together the measurement
errors.
I could use some kind of kriging, however I exactly know the magnitude of
each error at every sampled location, i.e. the value plus or minus the error
gave me by the laboratory.
Could anyone tell me what kind of function should I use for handling this
problem?
It should be nice some R package, of course, but I need to understand the
background theory.
Thanks in advance,
Regards,
Enrico Guastaldi

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Heidelberglaan 2
P.O. Box 80.115
3508 TC Utrecht
Phone:  +3130 274 3113 Mon-Tue
Phone:  +3130 253 5773 Wed-Fri
http://intamap.geo.uu.nl/~paul

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Re: AI-GEOSTATS: please help me

2007-10-08 Thread Paul Hiemstra

Hi Sadeghian,

You could consider posting this question on the r-help mailing list. 
(https://stat.ethz.ch/mailman/listinfo/r-help) I think that would give 
you an answer much sooner.


cheers,
Paul

azadeh sadeghian schreef:

dear list
  I am student M.S. statistics in department statistics . I am working 
in  the function nls in the [R 2.3.1] with 246 data and want to fit 
the exp model to vectors( v and u ) but I have

a problem to use it
u
  5.00e-13 2.179057e+03 6.537171e+03 1.089529e+04 1.525340e+04
  1.961151e+04 2.396963e+04 2.832774e+04 3.268586e+04 3.704397e+04
 4.140209e+04 4.576020e+04 5.011831e+04 5.447643e+04
v
 8.382562e-01 4.090868e+02 1.311053e+03 2.124143e+03 3.365494e+03
 2.138903e+03 7.687774e+03 1.028396e+04 1.004186e+04 2.059798e+04
 1.438464e+04 2.861373e+04 2.294919e+04 2.807701e+04
data1-data.frame(u=u ,v=v)
  
nls(v~c0+(ce*(1-exp((-u)/ae))),data=data1,start=list(c0=0,ce=1000,ae=3000))
Error in nls(v ~ c0 + (ce * (1 - exp((-u)/ae))), data = data1, start = 
list(c0 = 0,  :

step factor 0.000488281 reduced below 'minFactor' of 0.000976563
i dont know how to solve it, please help me .
 best regards
Sadeghian
 



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--
Drs. Paul Hiemstra
Department of Physical Geography
Faculty of Geosciences
University of Utrecht
Heidelberglaan 2
P.O. Box 80.115
3508 TC Utrecht
Phone: +31302535773
Fax:+31302531145
http://intamap.geo.uu.nl/~paul

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Re: AI-GEOSTATS: difference between correlogram and variogram models

2007-05-25 Thread Paul Hiemstra

Dear Abani,

The following is a quote from a geostatistics book by Chiles and 
Delfiner (p33):


..gives us two reasons to favor the variogram over the covariance. The 
first is theoretical: since the class of Intrinsic Random Functions 
includes the Stationary Random Functions, the variogram is a more 
general tool than the covariance. ... The second reason is practical: 
the variogram, unlike the covariance, does not require the knowledge of 
the mean.


Chiles, J., Delfiner, P., 1999. Geostatistics: Modeling Spatial 
Uncertainty. John Wiley  Sons, New York.


hth,

Paul

Abani R Samal schreef:
Can any one in the list help me explain the drawbacks of using 
correlogram for kriging?
 
In other words, what are the advantages of using variogram models 
instead of correlogram models?
 
why people don't use correlogram models more (as compared to variogram 
models)?
 
Regards,
 
Abani R Samal
 



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Department of Physical Geography
Faculty of Geosciences
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Heidelberglaan 2
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3508 TC Utrecht
Phone:  +31302535773
Fax:+31302531145
http://intamap.geo.uu.nl/~paul

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Re: AI-GEOSTATS: multi-point geostatistics

2007-03-16 Thread Paul Hiemstra

Peter Bossew schreef:

Dear list,

can somebody recommend an introduction into multiple-point geostatistics ? 
or a literature review ?



Thanks for hints,
Peter


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European Commission (EC) 
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21020 Ispra (VA) 
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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
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Dear Peter,

I have some work on multiple point methods for simulating complex 
geological structures, such as channel belts. These are a few papers I used:


Arpat, B.G. (2005), Sequential simulation with patterns, PhD Thesis, 
Stanford University, Stanford.

http://pangea.stanford.edu/~jcaers/theses/thesisBurcArpat.pdf

Strebelle, S., (2002), Conditional simulation of complex geological 
structures using multiple-point statistics. Mathematical Geology, Jan. 
2002.


Zhang T., Switzer, P., and Journel, A., (2006), Filter-based 
classification of training image patters for spatial simulation. 
Mathematical Geology, 38:1, pp. 63-80


Kind regards,

Paul

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Department of Physical Geography
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Heidelberglaan 2
P.O. Box 80.115
3508 TC Utrecht
Phone:  +31302535773
Fax:+31302531145
http://intamap.geo.uu.nl/~paul

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