Dear Enzo,
It is possible to calculate a
semivariogram for one-dimensional data with the same method used for two
dimensional (spatial) data. The problem arises in kriging because of the
string effect, in which the data points at the extreme end of the search window
are weighted too
Dear list,
I have estimated local cdfs for a continuous variable using indicator
kriging, and would like to go beyond the local variance of the random
variable to estimate the standard error of the E-type estimate at each
location. Is there a way to calculate this using GSLib programs?
Dear Oscar,
It sounds like you need kriging in a single dimension. If so, I think what
you need to do is a kind of coordinate transformation, for example using
river mile as your distance vector. You would also need to pay attention to
the dates of the samples. Variation in time might obscure
, February 24, 2005 5:19 PM
To: Noemi Barabas
Cc: oscar garcia; ai-geostats@unil.ch
Subject: Re: [ai-geostats] Kriging along streams
Noemi, the idea of transforming to a one-dimensional situation,
distance along river, was the first one I got. Then, I rejected
it because it will not work for river
Rajive,
Cyclic variograms indicate that your attribute of interest also fluctuates.
I encountered this when working with time-series of water levels, in which
case the fluctuations were related to seasonality. I am not sure what it
would mean in the case of platinum deposits. Such variograms
.
Noemi
Noemi Barabas
PhD Candidate
The University of Michigan
Dept. Civil and Environmental Engineering
1351 Beal Avenue (13 EWRE)
Ann Arbor, MI 48109-2125
Phone: (734) 615-5905
On Thu, 2 May 2002, Warren Schlechte wrote:
Maureen,
I believe we met in Savannah a couple of years ago
