Environmental Data Analysis with MatLab

Autor: William Menke, Joshua Menke

Limbă:

Legare: Copertă tare

Editura: Elsevier Science Publishing Co Inc

Disponibilitate: La editor doar la comandă

Expediem în 28-34 zile

513.64 lei

Since publication of the bestselling Environmental Data Analysis with MATLABÂ®, many advances have b...

Informații despre carte

Autor

William Menke, Joshua Menke

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2016

Pagini

342

EAN

9780128044889

ISBN

0128044888

Enbook ID

02951613

Editura

Elsevier Science Publishing Co Inc

Greutate

668

Dimensiuni

236 x 160 x 23

Descriere completă

Since publication of the bestselling Environmental Data Analysis with MATLABÂ®, many advances have been made in environmental data analysis. This new edition expands fundamentally on the original with an expanded tutorial approach, with new crib sheets and problem sets providing a clear learning path 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. The work teaches the basics of the underlying theory of data analysis and then reinforces that knowledge with carefully chosen, realistic scenarios. MATLABÂ®, 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 MATLABÂ® scripts that can be used as a data analysis tutorial. New to this edition: Throughout, boxed "crib sheets" help identify major results and important formulas and give brief advice on how and when they should be usedNumerical derivatives and integrals derived and illustratedExpansion to include log-log plots with further examples of their useDiscusses new datasets on precipitation and stream flowTopical enhancement applies the chi-squared test to the results of the generalized least squares method New section on cluster analysis New coverage of approximations techniques that are widely applied in data analysis. These include Taylor Series and low-order polynomial approximations; non-linear least-squares with Newtonâ€™s method; pre-calculation and updating techniques applicable to real time data acquisition; and neural networks for approximating complex relationshipsCorrections of typographical errors and of call outs of figures and equations 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 learning materialCrib Sheets serve 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 apparentUses real-world environmental examples and case studies formulated using the readily-available software environment in MATLABÂ®

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