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Quantitative Analysis of Mineral and Energy Resources

  • Book
  • © 1988

Overview

Editors:
  1. C. F. Chung

    1. Geological Survey of Canada, Ottawa, Canada

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  2. A. G. Fabbri

    1. Canada Centre for Remote Sensing, Ottawa, Canada

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  3. R. Sinding-Larsen

    1. Norwegian Institute of Technology, Trondheim, Norway

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Part of the book series: Nato Science Series C: (ASIC, volume 223)

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Table of contents (45 chapters)

  1. Front Matter

    Pages i-xviii
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  5. Image Processing in Earth Sciences

    1. Automated Integration of Mineral Resource Data by Image Processing and Artificial Intelligence

      • Andrea G. Fabbri, Tonis Kasvand
      Pages 215-236

    2. Principles of Mathematical Morphology

      • Jean Serra
      Pages 237-254

    3. The Use of Geological Image Analysis in Remote Sensing and Seismic Attribute Integration for Resource Assessment

      • R. Sinding-Larsen, Per R. Stokke
      Pages 255-269

    4. Statistical Image Processing

      • Paul Switzer
      Pages 271-282

  6. Statistical Analysis of Spatial Data

    1. Spatial Analysis of Patterns of Land-Based and Ocean-Floor Ore Deposits

      • F. P. Agterberg
      Pages 283-299

    2. Point Processes for the Earth Sciences

      • B. D. Ripley
      Pages 301-322

  7. Geostatistics

    1. An Unconventional Approach to Geostatistical Estimation

      • A. Grassia
      Pages 323-339
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Keywords

About this book

This volume contains the edited papers prepared by lecturers and participants of the NATO Advanced Study Institute on "Statistical Treatments for Estimation of Mineral and Energy Resources" held at II Ciocco (Lucca), Italy, June 22 - July 4, 1986. During the past twenty years, tremendous efforts have been made to acquire quantitative geoscience information from ore deposits, geochemical, geophys ical and remotely-sensed measurements. In October 1981, a two-day symposium on "Quantitative Resource Evaluation" and a three-day workshop on "Interactive Systems for Multivariate Analysis and Image Processing for Resource Evaluation" were held in Ottawa, jointly sponsored by the Geological Survey of Canada, the International Association for Mathematical Geology, and the International Geological Correlation Programme. Thirty scientists from different countries in Europe and North America were invited to form a forum for the discussion of quantitative methods for mineral and energy resource assessment. Since then, not only a multitude of research projects directed toward quantitative analysis in the Earth Sciences, but also recent advances in hardware and software technology, such as high-resolution graphics, data-base management systems and statistical packages on mini­ and micro-computers, made it possible to study large geoscience data sets. In addition, methods of image analysis have been utilized to capture data in digital form and to supply a variety of tools for charaterizing natural phenomena.

Editors and Affiliations

  • Geological Survey of Canada, Ottawa, Canada

    C. F. Chung

  • Canada Centre for Remote Sensing, Ottawa, Canada

    A. G. Fabbri

  • Norwegian Institute of Technology, Trondheim, Norway

    R. Sinding-Larsen

Bibliographic Information

  • Book Title: Quantitative Analysis of Mineral and Energy Resources

  • Editors: C. F. Chung, A. G. Fabbri, R. Sinding-Larsen

  • Series Title: Nato Science Series C:

  • DOI: https://doi.org/10.1007/978-94-009-4029-1

  • Publisher: Springer Dordrecht

  • eBook Packages: Springer Book Archive

  • Copyright Information: D. Reidel Publishing Company, Dordrecht, Holland 1988

  • Hardcover ISBN: 978-90-277-2635-3Published: 31 December 1987

  • Softcover ISBN: 978-94-010-8288-4Published: 19 October 2011

  • eBook ISBN: 978-94-009-4029-1Published: 06 December 2012

  • Series ISSN: 1389-2185

  • Edition Number: 1

  • Number of Pages: XVIII, 738

  • Topics: Economic Geology

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