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Environmental Data Analysis with Matlab

โœ Scribed by William Menke, Joshua Menke


Publisher
Academic Press
Year
2016
Tongue
English
Leaves
322
Edition
2
Category
Library

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โœฆ Synopsis


Environmental Data Analysis with MatLab is a new edition that expands fundamentally on the original with an expanded tutorial approach, 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. Since publication of the bestselling Environmental Data Analysis with MATLABยฎ, many advances have been made in environmental data analysis. 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.

MATLABยฎ, 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 MATLABยฎ 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 Newtonโ€™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 MATLABยฎ
  • Includes log-log plots with further examples of their use

โœฆ Table of Contents


Content:
Front Matter,Copyright,Dedication,Preface,Advice on scripting for beginnersEntitled to full text1 - Data analysis with MatLab, Pages 1-19
2 - A first look at data, Pages 21-38
3 - Probability and what it has to do with data analysis, Pages 39-65
4 - The power of linear models, Pages 67-89
5 - Quantifying preconceptions, Pages 91-112
6 - Detecting periodicities, Pages 113-137
7 - The past influences the present, Pages 139-163
8 - Patterns suggested by data, Pages 165-185
9 - Detecting correlations among data, Pages 187-221
10 - Filling in missing data, Pages 223-237
11 - โ€œApproximateโ€ is not a pejorative word, Pages 239-267
12 - Are my results significant?, Pages 269-294
13 - Notes, Pages 295-308
Index, Pages 309-321

โœฆ Subjects


Environmental sciences;Mathematical models;Environmental sciences;Data processing


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