Page 19 - Geochemical Anomaly and Mineral Prospectivity Mapping in GIS
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14                                                              Chapter 1



























             Fig. 1-3. Elements of predictive modeling of mineral prospectivity.


             generation and to the size of the study area. Furthermore, analysis of spatial distributions
             of mineral deposits of the type sought (e.g., Carlson,  1991; Vearncombe and
             Vearncombe, 1999) and analysis of spatial associations between mineral deposits of the
             type sought and certain geological features (e.g., Bonham-Carter, 1985; Carranza and
             Hale, 2002b) are useful in defining, testing and, if necessary, re-defining a conceptual
             model of mineral prospectivity and the prospectivity recognition criteria. This aspect of
             mineral prospectivity modeling is demonstrated in Chapter 6.
                The geological, geophysical and geochemical characteristics of areas  that contain
             mineral deposits of the type sought constitute the prospectivity recognition criteria. The
             conceptual model of mineral prospectivity  and the  prospectivity recognition criteria
             provide the framework for mineral prospectivity modeling in terms of determining the
             suitable (a) geoscience spatial data sets to be used, (b) evidential features to enhance and
             extract from individual geoscience spatial data sets, (c) method of transforming mapped
             evidential features into maps of individual prospectivity recognition criteria, (d) method
             of weighting classes of individual prospectivity recognition criteria to create predictor
             maps and (e) method of integrating predictor maps to create a predictive model or map
             of mineral prospectivity. The preceding items (b), (c) and (d) constitute the analysis of
             predictive model parameters.
                Methods of enhancing and extracting evidential features representing a prospectivity
             recognition criterion are specific to evidential themes (i.e., geochemical, geological,
             geophysical) and types of geoscience spatial data. The concepts of mapping significant
             geochemical anomalies are  discussed briefly in the previous section  and are treated
             further in Chapters 3 to 5. Mapping of evidential geological features of certain mineral
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