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Using Geochemical Data : Evaluation, Presentation, Interpretation.

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 geochemical data.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Rollinson, Hugh R.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken : Taylor and Francis, 2014.
Colección:Geochemistry series.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover; Half Title; Title Page; Copyright Page; Dedication; Table of Contents; Preface; Acknowledgements; Glossary; G.1 Abbreviations of mineral names used in the text; G.2 Other abbreviations and symbols used in the text; 1. Geochemical data; 1.1 Introduction; 1.2 Geological processes and their geochemical signatures; 1.2.1 Processes which control the chemical composition of igneous rocks; 1.2.2 Processes which control the chemical composition of sedimentary rocks; 1.2.3 Processes which control the chemical composition of metamorphic rocks; 1.3 Geological controls on geochemical data.
  • 1.4 Analytical methods in geochemistry1.4.1 X-ray fluorescence (XRF); 1.4.2 Neutron activation analysis (INAA and RNAA); 1.4.3 Inductively coupled plasma emission spectrometry (ICP); 1.4.4 Atomic absorption spectrophotometry (AAS); 1.4.5 Mass spectrometry; Isotope dilution mass spectrometry (IDMS); Inductively coupled plasma emission mass spectrometry (ICP-MS); Spark source mass spectrometry (SSMS); 1.4.6 Electron microprobe analysis; 1.4.7 The ion microprobe; 1.5 Selecting an appropriate analytical technique; 1.6 Sources of error in geochemical analysis; 1.6.1 Contamination.
  • 1.6.2 Calibration1.6.3 Peak overlap; 1.6.4 Detecting errors in geochemical data; 2. Analysing geochemical data; 2.1 Introduction; 2.2 Averages; 2.3 Correlation; 2.3.1 The correlation coefficient; 2.3.2 The significance of the correlation coefficient (r); 2.3.3 Assumptions in the calculation of the product-moment coefficient of correlation; 2.3.4 Spearman rank correlation; 2.3.5 Correlation matrices; 2.3.6 Correlation coefficient patterns; 2.4 Regression; 2.4.1 Ordinary least squares regression; 2.4.2 Reduced major axis regression; 2.4.3 Weighted least squares regression.
  • 2.4.4 Robust regression2.4.5 Some problems with traditional approaches to correlation and regression; 2.5 Ratio correlation; 2.5.1 An example of the improper use of ratio correlation
  • Pearce element ratio diagrams; 2.5.2 Application to trace element diagrams; 2.5.3 Ratio correlation in isotope geology; 2.6 The constant sum problem; 2.6.1 The consequences of closure; Correlating compositional data; The means of compositional data-sets; Invalid escape routes; 2.6.2 Aitchison's solution to the constant sum effect; An example
  • basalts from Kilauea Iki lava lake, Hawaii.
  • The interpretation of log-ratios2.7 The interpretation of trends on triangular diagrams; 2.8 Principal component analysis; 2.9 Discriminant analysis; 2.9.1 An example from igneous petrology; 2.9.2 Other applications of discriminant analysis; 2.10 Whither geochemical data analysis?; 3. Using major element data; 3.1 Introduction; 3.2 Rock classification; 3.2.1 Classifying igneous rocks using oxide-oxide plots; The total alkalis-silica diagram (TAS); (a) Using TAS with volcanic rocks; (b) A TAS diagram for plutonic rocks.