Page 7 - Geochemical Anomaly and Mineral Prospectivity Mapping in GIS
P. 7

VIII                                                              Preface

             selection for mapping…”, the chapters in Part II demonstrate GIS-aided and GIS-based
             methods for analysis of robust thresholds in mapping of geochemical anomalies. Built
             upon the notion that locations of mineral deposits of the type sought are intrinsic samples
             of mineralised landscapes, which are results of interactions of geological processes, the
             chapters in Part III explain GIS-aided and GIS-based techniques for spatial data analysis
             and geo-information synthesis for conceptual modeling and  predictive modeling  of
             mineral prospectivity. The essence of this book is, therefore, the prudent (thus, not black
             box) utilisation of  GIS  in mapping of  geochemical anomalies and prospective areas
             through the application of understanding of relevant earth systems or processes that led
             to the formation (and/or alteration) of these geo-objects.
                Each chapter in this volume is meant to be self-contained. The chapters in Parts II
             and III are,  however, coherently linked  by a common  case study. The concepts and
             methods described here are demonstrated with real exploration data sets. Although the
             geochemical data used here represent Earth materials most commonly sampled in
             reconnaissance exploration surveys (i.e., stream sediments) and the geological data sets
             used here represent ‘data-poor’ situations of mapping exploration targets for epithermal
             Au deposits, the concepts and methods described here apply equally to geochemical data
             from different sampling  media and to ‘data-rich’ situations of mapping exploration
             targets for various types of mineral deposits. In addition, whilst there is neither reference
             to nor endorsement of any  GIS software throughout this  volume, the concepts and
             methods described in every chapter are generic such that they are readily implemented
             with or in any GIS software. This volume is thus intended to be an instructional textbook
             and general reference manual for exploration geochemists and/or exploration geologists,
             who are enthusiastic and already possess skills in applying GIS or who are interested in
             applying GIS. It is also hoped that geoscience academics and graduate students not only
             in the knowledge fields of geo-resource exploration but also in the knowledge fields of
             geo-hazard mapping and/or geo-environmental characterisation would find the concepts
             and methods described in this volume useful in their work.
                I thank the International Institute for Geo-Information Science and Earth Observation
             (ITC) for resources and a pleasant environment for working (both teaching and doing
             research in geological predictive modeling) that allowed me to write this book. I thank
             also my graduate (PhD/MSc) students,  from 2002 to the present, with whom I have
             developed some of the ideas presented in this volume. Most of all, I thank Professor
             Martin Hale, for coaching me during the years I was a graduate (MSc to PhD) student of
             mineral exploration at ITC and TU Delft, for continuing to work with me thereafter, for
             inviting me to write a volume for the  series of Handbook of Exploration and
             Environmental Geochemistry and for editing this volume. The errors in this volume
             remain mine.


                                                                   E.J.M. CARRANZA
                                                              Enschede, The Netherlands
                                                                            May 2008
   2   3   4   5   6   7   8   9   10   11   12