Using Geochemical Data

Using Geochemical Data

Using Geochemical Data ebooks is available to be downloaded here now.

  • Title: Using Geochemical Data: Evaluation, Presentation, Interpretation
  • Author: Hugh R. Rollinson
  • Publisher: Longman Geochemistry
  • Pages: 380

This textbook is a complete rewrite, and expansion of Hugh Rollinson’s highly successful 1993 book Using Geochemical Data: Evaluation, Presentation, Interpretation. Rollinson and Pease’s new book covers the explosion in geochemical thinking over the past three decades, as new instruments and techniques have come online. It provides a comprehensive overview of how modern geochemical data are used in the understanding of geological and petrological processes.

It covers major element, trace element, and radiogenic and stable isotope geochemistry. It explains the potential of many techniques, provides examples of their application, and emphasizes how to interpret the resulting data. Additional topics covered include the critical statistical analysis of them, current geochemical techniques, effective display of them, and the application of data in problem solving and identifying petrogenetic processes within a geological context. It will be invaluable for all graduate students, researchers, and professionals using geochemical techniques.

Using Geochemical Data brings together in one volume a wide range of ideas and methods currently used in geochemistry, providing a foundation of knowledge from which the reader can interpret, evaluate and present them.

Numbers are the ammunition of the geochemist How to handle them wisely is the purpose of this manual. It guides and cautions the user on how to get the best from his or her igneous, sedimentary or metamorphic rock, and begins by evaluating the raw data from the current analytical methods — from XRF and INAA to ICP-MS and ion microprobe.

The statistical procedures necessary for hand-ling large databases are systematically considered in Chapter 2. Bivariant plots are strongly criticized on the grounds that they should really be multivariate. Cautionary notes are given on the use of the Pearce element ratio diagrams, and the ‘constant sum’ problem is explained.

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