Geoscience Reference
In-Depth Information
Table 5.6
Seafloor example.
Number of volcanic vents per
unique condition (unit
area ΒΌ100 m
2
)
Age Topo Contact Rocktype Fissures # of vents Area
0
0
0
0
0
0
10,052
0
0
0
0
1
1
3,363
0
0
0
1
0
0
3,268
0
0
0
1
1
0
1,074
0
1
0
0
0
0
5,455
0
1
0
0
1
0
25
0
0
1
0
0
0
3,482
0
1
0
1
0
0
2,518
0
0
1
0
1
0
1,474
0
1
0
1
1
0
1,371
1
0
0
0
0
0
5
1
0
0
0
1
0
705
0
0
1
1
0
0
5
0
0
1
1
1
0
744
1
0
0
1
0
0
422
1
0
0
1
1
0
58
0
1
1
0
0
0
12
0
1
1
0
1
0
179
1
1
0
0
0
2
1,766
1
1
0
0
1
0
119
0
1
1
1
0
1
1,055
0
1
1
1
1
0
33
1
0
1
0
0
0
10
1
1
0
1
0
0
146
1
0
1
0
1
1
623
1
1
0
1
1
0
145
1
0
1
1
0
2
504
1
0
1
1
1
0
1
1
1
1
0
0
2
317
1
1
1
0
1
1
277
1
1
1
1
0
3
348
1
1
1
1
1
0
295
Source: Agterberg (
2011
, Table 1)
number of deposits because of numerical precision restrictions depending on choice
of critical parameters that control the iterative process by which a WLR solution is
obtained. In the experiments, these parameters were set such that WLR sum of
posterior probabilities became equal to number of deposits after rounding off to the
nearest integer. In both WofE and WLR, it can be expected that the sum of posterior
probabilities in the testing area is more or less equal to the number of deposits in the
testing area if the training area is a random sample of the study area as in
Experiments 1 and 2. When training area and testing area are geographically
distinct blocks (as illustrated in Fig.
5.26
for Experiments 3-5), expected number
of deposits can be either greater or less than sum of posterior probabilities.
Estimated numbers of deposits in testing area in Tables
5.5
and
5.6
are nearly
equal to one another for Experiments 2 and 3. One reason for this similarity may be
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