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

William (Professor of Earth and Environmental Sciences Menke

ISBN 10: 0323955762 / ISBN 13: 9780323955768

Editore: Elsevier Science & Technology Aug 2022, 2022

Riguardo questo articolo

Neuware - Previous edition: published as by William Menke, Joshua Menke. 2016.

Codice articolo 9780323955768

Dati bibliografici

• Titolo: Environmental Data Analysis with MatLab or Python : Principles, Applications, and Prospects
• Editore: Elsevier Science & Technology Aug 2022
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 0323955762
• ISBN 13: 9780323955768
• Rilegatura: Taschenbuch
• Edizione: terza edizione
• Condizione: Neu
• Dimensioni: 234 L x 192 A x 29 P (millimetri) 234 millimetri di larghezza per 192 millimetri di altezza per 29 millimetri di profondità
• Peso: 946 grammi

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

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.