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Zhang, Zhihua

Environmental Data Analysis

Methods and Applications

    89,95 € / $126.00 / £82.00*

    eBook (EPUB)
    Publication Date:
    November 2016
    ISBN
    978-3-11-042498-0
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    Overview

    • Provide modern quantitative tools and techniques designed specifically to meet the needs of environmental sciences.
    • Explains carefully various data analysis procedures and techniques in a clear, concise, and straightforward language.

    Aims and Scope

    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:
    Preface
    Time series analysis
    Chaos and dynamical systems
    Approximation
    Interpolation
    Statistical methods
    Numerical methods
    Optimization
    Data envelopment analysis
    Risk assessments
    Life cycle assessments
    Index

    Details

    x, 324 pages
    50 Fig. 10 Tables
    Language:
    English
    Type of Publication:
    Monograph

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    Zhihua Zhang, Beijing Normal University, Beijing, China.

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