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Fig. 11.13 Estimates of
semivariogram
ʳ
k
.(a) Solid
line obtained by linear
regression after setting
˄
(2)
¼
0.979. (b) Log-log
plot of A. (c) Logarithmic
approximation (Source:
Cheng and Agterberg
1996
,
Fig. 5)
a
80
70
60
50
40
30
0
10
20
30
40
50
60
70
Lag
b
2
1.8
1.6
1.4
1.2
1
0
0.4
0.8
Log Lag
1.2
1.6
2
c
80
70
60
50
40
30
20
10
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
Log Lag
1) resulting from this equation are nearly the same as the
best-fitting semi-exponential (broken line in Fig.
10.12
). It seems reasonable to use
the model for extrapolation toward the origin by replacing the second-order differ-
ence on the right side of this expression by the second derivative (
cf
. Agterberg
2012a
, Eq. 9):
The first 15 values (
k
h
i
Þ
˄ ðÞþ
1
Þ
˄ ðÞþ
1
2
k
˄ ðÞþ
1
k
˄ ðÞ
1
ð
k
þ
1
þ
ð
k
1
˄
f
ðÞþ
2
1
g˄
ðÞ
2
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