Dear r-sig-geostat members,

 

I have a spatial soil sampling design which will be used for a
moderately large number of areas.  The first or primary stage is
systematic.  Any primary locations observed to exceed one or more
thresholds (it's a multivariable problem) will trigger (composite)
sample collection in the 4 adjacent grid areas.  So the sampling is
adaptive cluster sampling, and I use sampling weights for
Horvitz-Thompson estimation (prop to 1/(prob of selection)).  I know
that variograms estimated with this kind of clustered data can be
biased.  I would like to directly incorporate sampling weights into the
variogram estimation.  I have used gstat and geoR previously and don't
see an easy way to use external weights.  

 

Does anyone know how to use external weights for variogram estimation in
these packages?  Or are there other libraries that would work better?

 

Thanks in advance,

John   

 

John H. Carson Jr., PhD

Senior Statistician

Applied Sciences & Engineering 

Shaw Environmental & Infrastructure

16406 US Rte 224 East

Findlay, OH 45840

Phone 419-425-6156

Fax 419-425-6085

john.carson@shawgrp.com

 

http://www.shawgrp.com/ <http://www.shawgrp.com/> 

Shaw(tm) a world of Solutions(tm) <http://www.shawgrp.com/> 

 

To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to
say what the experiment died of.
~ Sir Ronald Aylmer Fisher

The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of
data.
~ John Tukey

 



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