Meng-Ying
Assuming that you generated your line with a Spherical
model, range 3, 27 samples making 9 ranges the
variance within that line will (theoretically) be
0.9191 of the semi-variogram sill.
Of course this theory depends on you have every
possible sample in that length, not just 27 of
Meng-ying,
I did mean the clustering of locations, if the sample is evenly and or
randomly
spread your s^2 estimate will be no problem, it's when the data is clustered
in
locations I believe removal of these data improves the estimate, the less
clustering
the less improvment, the higher the
hello,
I need a good estimator for the Correlogram, under 2nd
stationary condition, and a SPLUS program for
computing it (if there is).
Sincerely: Webster
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