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Geochemical Anomaly and Mineral Prospectivity Mapping in GIS
           by E.J.M. Carranza
           Handbook of Exploration and Environmental Geochemistry, Vol. 11 (M. Hale, Editor)
           © 2009 Elsevier B.V. All rights reserved.                              3

           Chapter 1




           PREDICTIVE MODELING OF MINERAL EXPLORATION TARGETS






           INTRODUCTION
              Mineral exploration endeavours to find  mineral deposits, especially those with
           commercially viable concentrations of minerals or metals, for mining purposes. It has
           four phases, namely (1) area selection, (2) target generation, (3) resource evaluation and
           (4) reserve definition. Area selection defines permissive regions where mineral deposits
           of the type sought plausibly exist based on knowledge of environments at or near the
           surface of the Earth’s crust where the geological processes (e.g., plate tectonics) are or
           were favourable for mineral deposit formation (Singer, 1993). Target generation
           demarcates, within permissive regions, prospective areas for further investigations until
           mineral deposits of interest are discovered based on exploration models for the deposit-
           type sought and  on relevant thematic geoscience (geological, geochemical and
           geophysical) data sets. Resource evaluation estimates grade and tonnage of specific
           minerals or metals in discovered mineral deposits based largely on systematic drilling.
           Reserve  definition classifies the various  parts of mineral deposits as ore reserves
           (proved, probable) or  mineral  resources (measured,  indicated,  inferred) based on
           economic and technical feasibility  analysis. This  volume is concerned  with  only the
           target generation phase in mineral exploration.
              Target generation is a multi-stage mapping activity from regional-scale to local-scale.
           Every scale of target generation involves collection, analysis and integration of various
           thematic geoscience data sets in  order to extract  pieces of spatial geo-information,
           namely (a)  geological, geochemical and/or  geophysical anomalies associated  with
           mineral deposits of the type sought and (b) prospective areas defined by intersections of
           such anomalies. An example of a  geological anomaly is hydrothermal alteration,
           although it may not  necessarily be accompanied by mineral  deposits. A  geophysical
           anomaly is a variation from normal background patterns of measured physical properties
           of the Earth’s upper crust (e.g., magnetism), which can be attributed to localised near-
           surface  or subsurface materials such as  metallic  mineral deposits. A  geochemical
           anomaly is a departure from the geochemical patterns that are normal for a given area. It
           can represent either geogenic  (i.e., natural)  or anthropogenic (i.e., industry-induced)
           enrichment in one  or more elements in  Earth materials. In mineral exploration,
           geochemical  anomalies associated  with mineral deposits are called  significant
           anomalies, whereas geochemical anomalies associated with other natural processes or
           anthropogenic processes are called non-significant anomalies. Because  not every
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