Description

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

Key Features

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

Readership

Environmental scientists, specialists, researchers, analysts, undergraduate and graduate students in Environmental Engineering, Environmental Biology and Earth Science, who are working to analyze data and communicate results

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

Details

No. of pages:
288
Language:
English
Copyright:
© 2012
Published:
Imprint:
Elsevier
Print ISBN:
9780123918864
Electronic ISBN:
9780123918871

About the authors

William Menke

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.

Affiliations and Expertise

Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, USA

Joshua Menke

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.