
Environmental Data Analysis with MatLab
Elsevier (Publisher)
Published on 13. October 2011
Book
Hardback
288 pages
978-0-12-391886-4 (ISBN)
Article exhausted; check for reprint
Description
Environmental Data Analysis with MatLab is a reference work designed to teach students and researchers the basics of data analysis in the environmental sciences using MatLab, and more specifically how to analyze data sets in carefully chosen, realistic scenarios. Although written in a self-contained way, the text is supplemented with data sets and MatLab scripts that can be used as a data analysis tutorial, available at the author's website: http://www.ldeo.columbia.edu/users/menke/edawm/index.htm.
This book is organized into 12 chapters. After introducing the reader to the basics of data analysis with MatLab, the discussion turns to the power of linear models; quantifying preconceptions; detecting periodicities; patterns suggested by data; detecting correlations among the data; filling in missing data; and determining whether your results are significant. Homework problems help users follow up upon case studies.
This text will appeal to environmental scientists, specialists, researchers, analysts, and undergraduate and graduate students in Environmental Engineering, Environmental Biology and Earth Science courses, who are working to analyze data and communicate results.
This book is organized into 12 chapters. After introducing the reader to the basics of data analysis with MatLab, the discussion turns to the power of linear models; quantifying preconceptions; detecting periodicities; patterns suggested by data; detecting correlations among the data; filling in missing data; and determining whether your results are significant. Homework problems help users follow up upon case studies.
This text will appeal to environmental scientists, specialists, researchers, analysts, and undergraduate and graduate students in Environmental Engineering, Environmental Biology and Earth Science courses, who are working to analyze data and communicate results.
More details
Language
English
Place of publication
United States
Target group
Professional and scholarly
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.
Illustrations
Approx. 130 illustrations
Dimensions
Height: 229 mm
Width: 152 mm
Weight
580 gr
ISBN-13
978-0-12-391886-4 (9780123918864)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

William Menke | Joshua Menke
Environmental Data Analysis with MatLab
Book
03/2016
2nd Edition
Academic Press
€93.00
Shipment within 15-20 days
Additional editions

William Menke | Joshua Menke
Environmental Data Analysis with MATLAB
E-Book
05/2014
Elsevier
€60.95
Available for download
Persons
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.
Author
Professor of Earth and Environmental Sciences ,Columbia University
Content
1. Data Analysis with MatLab2. A First Look at Data3. Probability and What has to do with Data.4. The Power of Linear Models5. Quantifying Preconceptions6. Detecting Periodicities7. The Past Influences the Present8. Patterns Suggested By Data 9. Detecting Correlations Among the Data10. Filling in Missing Data11. Are my Results Significant?12. Notes