hello list,
to get the global mean of my data set (484 observation wells) and
as a prerequisite for Normal Score Transformation with GSLIB, i
declustered my data with polygonal declustering. When
standardizing the weights to 1, so that the weights sum up to the
number of data, I receive some
Hi Oliver,
I don't know which algorithm you are using to compute these declustering
weights but there is something wrong in your rescaling procedure.
These declustering weights are proportional to the size of the polygon
of influence of each observation and they can not be negative.
Regards,
]
www.ualberta.ca/~mpyrcz
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Sent: July 5, 2003 2:13 AM
To: [EMAIL PROTECTED]
Subject: AI-GEOSTATS: Declustering
hello list,
to get the global mean of my data set (484 observation wells
I am slightly confused:
... if sampling is clustered preferentially in
e.g. higher values
areas, would this not bias the semi-variogram for
the first few lags?...at
least if, as it can happen, the variance is related
to the mean.
The semi-variogram is calculated on the
Hello,
I would like to know what is the declustering, why we used this
method and how we proceed to decluster a set of data?
Thank you
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I would like to know what is the declustering, why
we used this
method and how we proceed to decluster a set of
data?
If your data is clustered spatially (in location) this
may bias any histograms or probability plots which you
draw and, therefore, any conclusions you make about
what kind
