Page 241 - Geochemical Anomaly and Mineral Prospectivity Mapping in GIS
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Knowledge-Driven Modeling of Mineral Prospectivity                   243
















           Fig. 7-23. Fuzzified evidential scores (fS c ) of multi-element geochemical anomaly scores (see Fig.
           5-12), Aroroy district (Philippines).


                      ~
           the value of  S  in equation (7.21). The fuzzified evidential scores of spatial evidence of
                       c
           geochemical anomalies in the case study are illustrated in Fig. 7-23. The shape of the
           fuzzy logic membership function of the multi-element geochemical anomaly scores is
           similar to the shape of the fuzzy membership function of the same data set (Fig. 7-12B).
              Of the two above-stated options for obtaining an integrated geochemical-geological
           wildcat model of mineral prospectivity, option (a) does not result in a satisfactory model
           of mineral prospectivity in the case when the spatial evidence of geochemical anomalies
           does not represent in situ materials as do  the pieces of spatial evidence of geologic
           controls on mineralisation. For example in the case study area, PC1 reflects dissociation
           between geological and  geochemical evidence, PC2 and  PC3 both  reflect association
           between geochemical evidence and some structural control evidence and PC4 and PC5
           both reflect association between geochemical evidence, heat source control evidence and
           some structural control evidence (Table 7-XII). Thus, PC4 and PC5 represent equivocal
           integrated geochemical-geological evidence of mineral prospectivity. Between PC4 and




           TABLE 7-XII
           Principal components of fuzzified evidential scores (fS c ) of classes of proximity  to geological
           features (see Table 7-X and Fig. 7-21B) and classes of multi-element geochemical anomaly scores
           (Fig. 7-23) in the Aroroy district (Philippines).

                    NNW  1   NW 2   NE 3    NA 4  ANOM  5  % of variance Cum. % of variance
              PC1   -0.498  -0.580  -0.182  -0.591  0.181   35.47        35.47
              PC2   -0.421  -0.218  0.678   0.199  -0.525   20.86        56.33
              PC3    0.258  -0.087  0.685  -0.141   0.661   18.49        74.82
              PC4    0.689  -0.335  0.073  -0.422  -0.479   12.92        87.74
              PC5    0.181  -0.704  -0.179  0.643   0.159   12.26        100.00
                                                             3
                                     2
           1 NNW-trending faults/fractures.  NW-trending faults/fractures.  NE-trending faults/fractures.
                                     5
           4 Nabongsoran Andesite porphyry.  Integrated PC2 and PC3 scores obtained from the catchment
           basin analysis of stream sediment geochemical data (see Chapter 3).
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