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Environmental data analysismethods a...

Zhang, Zhihua.

Environmental data analysismethods and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Environmental data analysisZhihua Zhang.
其他題名:	methods and applications /
作者:	Zhang, Zhihua.
出版者:	Berlin ;De Gruyter,c2017.
面頁冊數:	1 online resource (334 p.) :ill.
標題:	Environmental sciencesData processing.
電子資源:	https://www.degruyter.com/isbn/9783110424904
ISBN:	9783110424904$q(electronic bk. ;$qPDF)

Environmental data analysismethods 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$q(electronic bk. ;$qPDF)

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

338608
Environmental sciences
--Data processing.

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

Dewey Class. No.: 363.700285

Environmental data analysismethods 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 338608
650 0 $a Environmental sciences $x Mathematics. $3 664669
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