Data Analysis for the Geosciences
eBook - ePub

Data Analysis for the Geosciences

Essentials of Uncertainty, Comparison, and Visualization

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Data Analysis for the Geosciences

Essentials of Uncertainty, Comparison, and Visualization

About this book

An initial course in scientific data analysis and hypothesis testing designed for students in all science, technology, engineering, and mathematics disciplines

Data Analysis for the Geosciences: Essentials of Uncertainty, Comparison, and Visualization is a textbook for upper-level undergraduate STEM students, designed to be their statistics course in a degree program.

This volume provides a comprehensive introduction to data analysis, visualization, and data-model comparisons and metrics, within the framework of the uncertainty around the values. It offers a learning experience based on real data from the Earth, ocean, atmospheric, space, and planetary sciences.

About this volume:

  • Serves as an initial course in scientific data analysis and hypothesis testing
  • Focuses on the methods of data processing
  • Introduces a wide range of analysis techniques
  • Describes the many ways to compare data with models
  • Centers on applications rather than derivations
  • Explains how to select appropriate statistics for meaningful decisions
  • Explores the importance of the concept of uncertainty
  • Uses examples from real geoscience observations
  • Homework problems at the end of chapters

The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

Information

Publisher
American Geophysical Union
Year
2023
Print ISBN
9781119747871
eBook ISBN
9781119747895
Edition
1
Topic
Physical Sciences
Subtopic
Geology & Earth Sciences

Table of contents

  1. Cover
  2. Table of Contents
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication Page
  7. Preface
  8. Acknowledgments
  9. About the Companion Website
  10. 1 Assessment and Uncertainty: Examples and Introductory Concepts
  11. 2 Plotting Data: Visualizing Sets of Numbers
  12. 3 Uncertainty Analysis: Techniques for Propagating Uncertainty
  13. 4 Centroids and Spreads: Analyzing a Set of Numbers
  14. 5 Assessing Normality: Tests for Assessing the Gaussian Nature of a Distribution
  15. 6 Correlating Two Data Sets: Analyzing Two Sets of Numbers Together
  16. 7 Curve Fitting: Fitting a Line between Two Sets of Numbers
  17. 8 Data‐Model Comparison Basics: Philosophies of Calculating and Categorizing Metrics
  18. 9 Fit Performance Metrics: Data‐Model Comparisons Based on Exact Observed and Modeled Values
  19. 10 Event Detection Metrics: Comparing Observed and Modeled Number Sets When Only Event Status Matters
  20. 11 Sliding Thresholds: Event Detection Metrics with a Variable Event Identification
  21. 12 Applications of Metrics and Uncertainty: Final Advice and Introductions to Advanced Topics
  22. Index
  23. End User License Agreement

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Yes, you can access Data Analysis for the Geosciences by Michael W. Liemohn in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Geology & Earth Sciences. We have over 1.5 million books available in our catalogue for you to explore.