Environmental Data Analysis with MatLab

Other | October 13, 2009

byWilliam Menke, William Menke, Joshua Menke...

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Environmental Data Analysis with MatLabis 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

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From the Publisher

Environmental Data Analysis with MatLabis 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 ...

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.

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Format:OtherDimensions:288 pages, 1 × 1 × 1 inPublished:October 13, 2009Publisher:Elsevier Science & TechLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0123918871

ISBN - 13:9780123918871

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Extra Content

Table of Contents

1. Data Analysis with MatLab
2. A First Look at Data
3. Probability and What has to do with Data.
4. The Power of Linear Models
5. Quantifying Preconceptions
6. Detecting Periodicities
7. The Past Influences the Present
8. Patterns Suggested By Data
9. Detecting Correlations Among the Data
10. Filling in Missing Data
11. Are my Results Significant?
12. Notes