Basic Environmental Data Analysis for Scientists and Engineers

This textbook is a comprehensive guide to modern digital data analysis and graphics, suitable for undergraduate and graduate courses in environmental sciences and engineering. It covers array-based or matrix inversion, spectral analysis using the fast Fourier transform (FFT), and least squares data modeling. It is divided into two parts and includes practical examples and exercises using MATLAB®,Mathematica,Mathcad, and other software.

Format: Paperback / softback
Length: 298 pages
Publication date: 21 January 2023
Publisher: Taylor & Francis Ltd

This textbook, which has been classroom-tested and the product of more than 30 years of teaching and research, is an essential resource for undergraduate and graduate data analysis courses in environmental sciences and engineering. It is also a valuable reference for the vast and expanding community of Earth scientists and engineers interested in modern digital data analysis.

Basic Environmental Data Analysis for Scientists and Engineers provides a comprehensive introduction to 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), which is a dominant technique in modern data analysis.

The textbook is divided into two parts, making it suitable for both beginning undergraduate students and advanced undergraduate and beginning graduate students. Part I focuses on introducing the basic approaches for quantifying data variations in terms of environmental parameters. These approaches emphasize the use of data arrays or matrices, which are the fundamental data and mathematical processing formats of modern electronic computing.

Part II extends the inverse problem to least squares solutions involving more than two unknowns. This part provides a deeper understanding of the mathematical principles and techniques involved in data analysis and offers practical applications in environmental science and engineering.

Some of the key features of this textbook include:

A uniquely practical guide for making students proficient in modern electronic data analysis and graphics.

Includes topics that are not explained in any existing textbook on environmental data analysis.

Data analysis topics are very well organized into a two-semester course that meets general education requirements.

The textbook is written in a clear and concise manner, making it accessible to students with a variety of backgrounds.

It includes numerous examples and exercises to help students apply the concepts learned in the text.

The textbook is extensively referenced, providing students with further reading materials for further exploration of the topics covered.

Overall, Basic Environmental Data Analysis for Scientists and Engineers is an excellent resource for anyone interested in modern digital data analysis and graphics in environmental sciences and engineering. It is a must-have for students, researchers, and professionals in this field.

Weight: 550g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032475066