Ralph R.B. Von Frese
November 19, 2019 Forthcoming
Textbook - 286 Pages - 109 B/W Illustrations
ISBN 9781138627789 - CAT# K31997
For Instructors Request Inspection Copy
Classroom tested and the result of over 30 years of teaching and research, this textbook is an invaluable tool for undergraduate and graduate data analysis courses in environmental sciences and engineering. It is also a useful reference on modern digital data analysis for the extensive and growing community of Earth scientists and engineers.
Basic Environmental Data Analysis for Scientists and Engineers introduces practical concepts of modern digital data analysis and graphics, including numerical/graphical calculus, measurement units and dimensional analysis, error propagation and statistics, and least squares data modeling. It emphasizes array-based or matrix inversion and spectral analysis using the fast Fourier transform (FFT) that dominates modern data analysis. Divided into two parts, this comprehensive hands-on textbook is excellent for exploring data analysis principles and practice using MATLAB®, Mathematica, Mathcad, and other modern equation solving software.
Part I, for beginning undergraduate students, introduces the basic approaches for quantifying data variations in terms of environmental parameters. These approaches emphasize uses of the data array or matrix, which is the fundamental data and mathematical processing format of modern electronic computing. Part II, for advanced undergraduate and beginning graduate students, extends the inverse problem to least squares solutions involving more than two unknowns.
Introduction. Data Attributes. Error Analysis. Statistics. Data Sampling. Linear Regression. Linear Regression by Matrix Inversion. Basic Digital Data Analysis. Data Inversion or Modeling. Trial-and-Error Methods. Array Methods. Spectral Analysis. Data Interrogation. Data Graphics. Key Concepts.
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