Page 297 - Geochemical Anomaly and Mineral Prospectivity Mapping in GIS
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             Fig. 8-21. (A) Epithermal Au prospectivity map of Aroroy district (Philippines) portrayed as
             discriminant scores of spatial evidence layers  with respect  to  training set A of 79 randomly-
             selected proxy deposit-type locations (Fig. 8-8) and 81 non-deposit locations. Polygon outlined in
             grey is area of stream sediment sample catchment basins (see Fig. 4-11). The testing set of
             locations of 13 epithermal Au deposits is shown as reference to the prediction-rate. (B) Fitting and
             prediction-rate curves of, respectively, proportions of randomly-selected training proxy deposits
             (grey dots) and testing deposits (black dots) demarcated by the predictions versus proportion of the
             study  area predicted  as prospective based on the discriminant scores.  The grey and black dots
             represent classes of discriminant scores that correspond spatially with certain numbers of training
             randomly-selected proxy deposit-type locations (in grey) and certain numbers of testing deposit-
             type locations (in black), respectively.


             generally consistent with the data-driven estimates of Bel shown in Fig. 8-15. It follows
             that the scheme of spatial evidence representation for raster-based GIS  application  of
             LDA to mineral prospectivity mapping (Fig. 8-20) allows proper comparison with the
             results of the application of data-driven evidential belief modeling.
                The maps of discriminant scores based on training set A (Fig. 8-21A) and training set
             B (Fig.  8-22A) both show circular  patterns and NNW-trending linear patterns  of
             intermediate and high values reflecting the spatial evidence of proximity to intersections
             of NNW- and NW-trending  faults/fractures and  proximity to NNW-trending
             faults/fractures. The discriminant scores are highest mostly where the circular and the
             NNW-trending linear patterns intersect.  The patterns of intermediate and high
             discriminant scores in  both  maps (Figs.  8-21A and 8-22A) are consistent with the
             conceptual model of epithermal Au mineralisation in dilational or extensional settings as
             depicted in Fig. 6-16.
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