Environmental Data Analysis with MatLab or Python: Principles, Applications, and Prospects

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William Menke (Professor of Earth and Environmental Sciences ,Columbia University)

Environmental Data Analysis with MatLab or Python

Principles, Applications, and Prospects

William Menke (Professor of Earth and Environmental Sciences ,Columbia University)

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English

Academic Press Inc
18 August 2022

Stochastics; The environment; Environmental monitoring

Environmental Data Analysis with MATLAB, Third Edition, is a new edition that expands fundamentally on the original with an expanded tutorial approach, more clear organization, new crib sheets, and problem sets providing a clear learning path for students and researchers working to analyze real data sets in the environmental sciences. The work teaches the basics of the underlying theory of data analysis and then reinforces that knowledge with carefully chosen, realistic scenarios, including case studies in each chapter. The new edition is expanded to include applications to Python, an open source software environment.

Significant content in Environmental Data Analysis with MATLAB, Third Edition is devoted to teaching how the programs can be effectively used in an environmental data analysis setting. This new edition offers chapters that can both be used as self-contained resources or as a step-by-step guide for students, and is supplemented with data and scripts to demonstrate relevant use cases.

By: William Menke (Professor of Earth and Environmental Sciences Columbia University)
Imprint: Academic Press Inc
Country of Publication: United Kingdom
Edition: 3rd edition
Dimensions: Height: 235mm, Width: 191mm,
Weight: 950g
ISBN: 9780323955768
ISBN 10: 0323955762
Pages: 466
Publication Date: 18 August 2022
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

William Menke is a Professor of Earth and Environmental Sciences at Columbia University. His research focuses on the development of data analysis algorithms for time series analysis and imaging in the earth and environmental sciences and the application of these methods to volcanoes, earthquakes, and other natural hazards. He has thirty years of experience teaching data analysis methods to both undergraduates and graduate students. Relevant courses that he has taught include, at the undergraduate level, Environmental Data Analysis and The Earth System, and at the graduate level, Geophysical Inverse Theory, Quantitative Methods of Data Analysis, Geophysical Theory and Practical Seismology.