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Environmental data analysis = methods and applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Environmental data analysis/ Zhihua Zhang.
Reminder of title:	methods and applications /
Author:	Zhang, Zhihua.
Published:	Berlin ;De Gruyter, : c2017.,
Description:	1 online resource (334 p.) :ill. :
Subject:	Environmental sciences - Data processing. -
Online resource:	https://www.degruyter.com/isbn/9783110424904
ISBN:	9783110424904

Environmental data analysis = methods and applications /
Zhang, Zhihua.

Environmental data analysismethods and applications /[electronic resource] :Zhihua Zhang. - 1st ed. - Berlin ;De Gruyter,c2017. - 1 online resource (334 p.) :ill.

Includes bibliographical references at the end of each chapters and index.

Frontmatter -- Preface -- Contents -- 1. Time series analysis -- 2. Chaos and dynamical systems -- 3. Approximation -- 4. Interpolation -- 5. Statistical methods -- 6. Numerical methods -- 7. Optimization -- 8. Data envelopment analysis -- 9. Risk assessments -- 10. Life cycle assessments -- Index.

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.

ISBN: 9783110424904

Standard No.: 10.1515/9783110424904doiSubjects--Topical Terms:

716403
Environmental sciences
--Data processing.

LC Class. No.: GE45.D37 / .Z436 2017

Dewey Class. No.: 363.700285

Environmental data analysis = methods and applications /
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245 1 0 $a Environmental data analysis $h [electronic resource] : $b methods and applications / $c Zhihua Zhang.
250 $a 1st ed.
260 $a Berlin ; $a Boston : $b De Gruyter, $c c2017.
300 $a 1 online resource (334 p.) : $b ill.
504 $a Includes bibliographical references at the end of each chapters and index.
505 0 $a Frontmatter -- Preface -- Contents -- 1. Time series analysis -- 2. Chaos and dynamical systems -- 3. Approximation -- 4. Interpolation -- 5. Statistical methods -- 6. Numerical methods -- 7. Optimization -- 8. Data envelopment analysis -- 9. Risk assessments -- 10. Life cycle assessments -- Index.
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.
588 $a Description based on online resource; title from PDF title page (Ebrary, viewed December 19, 2016).
650 0 $a Environmental sciences $x Data processing. $3 716403
650 0 $a Environmental sciences $x Mathematics. $3 906736
856 4 0 $u https://www.degruyter.com/isbn/9783110424904