ETL 1110-1-175
30 Jun 97
Figure 5-1. (Sheet 3 of 3)
has an upward concavity that cannot be fit with a
mates should be computed using neighborhoods
linear, spherical, or exponential model. The
with a search radius less than 610 m. In Chapter
observed shape was interpreted as a function of
4, the initial part of the variogram was described
continuous small-scale variability. The Gaussian
as having the most effect on subsequent kriging
model fits the bowl shape of the small lag data
estimates.
(and other data to a lag of about 610 m) well, but
e. The established variogram then was used
it is not flexible enough to closely fit the points
much beyond 610 m, indicating that kriging esti-
with the measured data to produce universal
5-4