Environmental Data Analysis with MatLab
| Autor: | William Menke, Joshua Menke |
|---|---|
| EAN: | 9780123918871 |
| eBook Format: | ePUB/PDF |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 13.10.2009 |
| Kategorie: | |
| Schlagworte: | accept; amplitude; autocorrelation; Bayes theorem; bootstrap; chemical element; chi-squared test; coherence; command; complex exponential; complex least squares; component; conditional distribution; confidence interval; convolution; correlation coeff |
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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.
Author's website: http://www.ldeo.columbia.edu/users/menke/edawm/index.htm
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
William Menke is a Professor of Earth and Environmental Sciences at Columbia University, USA. 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.
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