Geochemical anomaly and mineral prospectivity mapping in GIS /

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The book documents and explains, in three parts, geochemical anomaly and mineral prospectivity mapping by using a geographic information system (GIS). Part I reviews and couples the concepts of (a) mapping geochemical anomalies and mineral prospectivity and (b) spatial data models, management and op...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Carranza, Emmanuel John M. (Emmanuel John Muico), 1962-
Format: Electronic eBook
Language:Inglés
Published: Amsterdam ; Boston : Elsevier, 2009.
Edition:1st ed.
Series:Handbook of exploration and environmental geochemistry ; v. 11.
Subjects:
Geochemistry > Remote sensing.
Mines and mineral resources > Remote sensing.
Geological mapping > Remote sensing.
Geographic information systems.
Geographic Information Systems
G�eochimie > T�el�ed�etection.
Cartographie g�eologique > T�el�ed�etection.
Syst�emes d'information g�eographique.
geographic information systems.
TECHNOLOGY & ENGINEERING > Mining.
Geochemistry > Remote sensing
Geographic information systems
Geological mapping > Remote sensing
Mines and mineral resources > Remote sensing
Geografiska informationssystem.
Geokemi.
Mineraltillg�angar.
Online Access:Texto completo
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Table of Contents:
  • PART I. MODELS IN MINERAL EXPLORATION AND GIS
  • 1. Predictive Modeling of Mineral Exploration Targets
  • 2. Spatial Data Models, Management and Operations
  • PART II. GEOCHEMICAL ANOMALY MAPPING
  • 3. Exploratory Analysis of Geochemical Anomalies
  • 4. Fractal Analysis of Geochemical Anomalies
  • 5. Catchment Basin Analysis of Stream Sediment Anomalies
  • PART III. MINERAL PROSPECTIVITY MAPPING
  • 6. Analysis of Geologic Controls of Mineral on Mineral Occurrence
  • 7. Knowledge-Driven Modeling of Mineral Prospectivity
  • 8. Data-Driven Modeling of Mineral Prospectivity.
  • Predictive modeling of ineral exploration targets
  • Spatial data models, management and operations
  • Exploratory analysis of geochemical anomalies
  • Fractal analysis of geochemical anomalies
  • Catchment basin analysis of stream sediment anomalies
  • Analysis of geologic controls on mineral occurrence
  • Knowledge-driven modeling of mineral prospectivity
  • Data-driven modeling of mineral prospectivity.

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