Environmental Data Analysis: Methods And Applications
by Zhihua Zhang /
2016 / English / PDF
3.6 MB Download
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.
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:
Contents: Preface
Preface
Time series analysis
Time series analysis
Chaos and dynamical systems
Chaos and dynamical systems
Approximation
Approximation
Interpolation
Interpolation
Statistical methods
Statistical methods
Numerical methods
Numerical methods
Optimization
Optimization
Data envelopment analysis
Data envelopment analysis
Risk assessments
Risk assessments
Life cycle assessments
Life cycle assessments
Index
Index
