Environmental data analysis with MatLab
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 fro...
| Main Author: | Menke, William. |
|---|---|
| Other Authors: | Menke, Joshua E. 1976-, ScienceDirect (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Burlington :
Elsevier,
[2012]
|
| Physical Description: |
1 online resource. |
| Subjects: |
| Summary: |
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. |
|---|---|
| Item 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. 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. 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. Includes bibliographical references and index. Elsevier ScienceDirect All Books. |
| Physical Description: |
1 online resource. |
| Bibliography: |
Includes bibliographical references and index. |
| ISBN: |
9780123918864 0123918863 9780123918871 0123918871 1283249928 9781283249928 |