Environmental Data Analysis with MatLab
Autor William Menke, Joshua Menkeen Limba Engleză Hardback – 8 mar 2016
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. This new edition, though written in a self-contained way, is supplemented with data and MATLAB® scripts that can be used as a data analysis tutorial.
New features include boxed crib sheets to help identify major results and important formulas and give brief advice on how and when they should be used. Numerical derivatives and integrals are derived and illustrated. Includes log-log plots with further examples of their use. Discusses new datasets on precipitation and stream flow. Topical enhancement applies the chi-squared test to the results of the generalized least squares method. New coverage of cluster analysis and approximation techniques that are widely applied in data analysis, including Taylor Series and low-order polynomial approximations; non-linear least-squares with Newton’s method; and pre-calculation and updating techniques applicable to real time data acquisition.
- Provides a clear learning path for researchers and students using data analysis techniques which build upon one another, choosing the right order of presentation to substantially aid the reader in learning material
- Includes crib sheets to summarize the most important data analysis techniques, results, procedures, and formulas, serving to organize the material in such a way that its sequence is more apparent
- Uses real-world environmental examples and case studies formulated using the readily-available software environment in MATLAB®
- Includes log-log plots with further examples of their use
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Specificații
ISBN-13: 9780128044889
ISBN-10: 0128044888
Pagini: 342
Dimensiuni: 191 x 235 x 23 mm
Ediția:2 Rev ed.
Editura: ELSEVIER SCIENCE
ISBN-10: 0128044888
Pagini: 342
Dimensiuni: 191 x 235 x 23 mm
Ediția:2 Rev ed.
Editura: ELSEVIER SCIENCE
Cuprins
1. Data analysis with MatLab2. A first look at data3. Probability and what it has to do with data analysiz4. The power of linear models5. Quantifying preconceptions6. Detecting periodicities7. The past influences the present8. Patterns suggested by data9. Detecting correlations among data10. Filling in missing data11. "Approximate" is not a pejorative word12. Are my results significant?13. Notes