Environmental Data Analysis : : Methods and Applications / / Zhihua Zhang.

Most environmental data involve a large degree of complexity and uncertainty. Environmental Data Analysis is created to provide modern quantitative tools and techniques designed specifically to meet the needs of environmental sciences and related fields. This book has an impressive coverage of the s...

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Superior document:Title is part of eBook package: De Gruyter DG Plus eBook-Package 2017
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Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2016]
©2017
Year of Publication:2016
Language:English
Online Access:
Physical Description:1 online resource (324 p.)
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100 1 |a Zhang, Zhihua,   |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Environmental Data Analysis :  |b Methods and Applications /  |c Zhihua Zhang. 
264 1 |a Berlin ;  |a Boston :   |b De Gruyter,   |c [2016] 
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300 |a 1 online resource (324 p.) 
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505 0 0 |t Frontmatter --   |t Preface --   |t Contents --   |t 1. Time series analysis --   |t 2. Chaos and dynamical systems --   |t 3. Approximation --   |t 4. Interpolation --   |t 5. Statistical methods --   |t 6. Numerical methods --   |t 7. Optimization --   |t 8. Data envelopment analysis --   |t 9. Risk assessments --   |t 10. Life cycle assessments --   |t Index 
506 0 |a restricted access  |u http://purl.org/coar/access_right/c_16ec  |f online access with authorization  |2 star 
520 |a Most environmental data involve a large degree of complexity and uncertainty. Environmental Data Analysis is created to provide modern quantitative tools and techniques designed specifically to meet the needs of environmental sciences and related fields. This book has an impressive coverage of the scope. Main techniques described in this book are models for linear and nonlinear environmental systems, statistical & numerical methods, data envelopment analysis, risk assessments and life cycle assessments. These state-of-the-art techniques have attracted significant attention over the past decades in environmental monitoring, modeling and decision making. Environmental Data Analysis explains carefully various data analysis procedures and techniques in a clear, concise, and straightforward language and is written in a self-contained way that is accessible to researchers and advanced students in science and engineering. This is an excellent reference for scientists and engineers who wish to analyze, interpret and model data from various sources, and is also an ideal graduate-level textbook for courses in environmental sciences and related fields. Contents:PrefaceTime series analysisChaos and dynamical systemsApproximationInterpolationStatistical methodsNumerical methodsOptimizationData envelopment analysisRisk assessmentsLife cycle assessmentsIndex 
538 |a Mode of access: Internet via World Wide Web. 
546 |a In English. 
588 0 |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021) 
650 0 |a Environmental sciences  |x Data processing. 
650 0 |a Environmental sciences  |x Mathematics. 
650 4 |a Datenanalyse. 
650 4 |a Mathematik. 
650 4 |a Umweltwissenschaft. 
650 7 |a MATHEMATICS / General.  |2 bisacsh 
653 |a Data Analysis. 
653 |a Environmental Science. 
653 |a Mathematics. 
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