Data Analysis for the Geosciences : Essentials of Uncertainty, Comparison, and Visualization

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 testingFocuses on the methods of data processingIntroduces a wide range of analysis techniquesDescribes the many ways to compare data with modelsCenters on applications rather than derivationsExplains how to select appropriate statistics for meaningful decisionsExplores the importance of the concept of uncertaintyUses examples from real geoscience observationsHomework 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.