Environmental Data Analysis with Matlab - Rilegato

Menke, William; Menke, Joshua

Rilegato

ISBN 10: 0123918863 ISBN 13: 9780123918864

Casa editrice: Elsevier Science Ltd, 2011

Riassunto

Environmental Data Analysis with MatLab is for students and researchers working to analyze real data sets in the environmental sciences. One only has to consider the global warming debate to realize how critically important it is to be able to derive clear conclusions from often-noisy data drawn from a broad range of sources. This book teaches the basics of the underlying theory of data analysis, and then reinforces that knowledge with carefully chosen, realistic scenarios. MatLab, a commercial data processing environment, is used in these scenarios; significant content is devoted to teaching how it can be effectively used in an environmental data analysis setting. The book, though written in a self-contained way, is supplemented with data sets and MatLab scripts that can be used as a data analysis tutorial.

Well written and outlines a clear learning path for researchers and students

Uses real world environmental examples and case studies

MatLab software for application in a readily-available software environment

Homework problems help user follow up upon case studies with homework that expands them

Su questo libro

Informazioni sugli autori

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.

Joshua Menke is a software engineer and principal of JOM Associates. His specialty is in the design and implementation of parallel processing systems for matching and correlation of large volumes of data in order to identify and quantify trends and patterns that can assist manufacturers and retailer better serve their clientele.

Dettagli dell'edizione

• Editore: Elsevier Science Ltd
• Data di pubblicazione: 2011
• Lingua: Inglese
• ISBN 10: 0123918863
• ISBN 13: 9780123918864
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 263
• Contatto del produttore: non disponibile
• Persona responsabile: LSWR Group; b.criscuolo@lswr.it; ; Via Spadolini, 7; Milano; Italia