Environmental Data Analysis: Methods and Applications.
Environmental Data Analysis: Methods and Applications
Because of the size, variety, and dynamic nature of environmental data, Zhang says, researchers in environmental science need to be familiar with various advanced techniques for exploring, identifying, and analyzing patterns in data. He explains aspects of data analysis in space, time, and spectral domains that are necessary for environmental research. His topics include models for linear and nonlinear environmental systems, statistical and numerical methods, data envelopment analysis, risk assessments, and life cycle assessments. The book could serve as a graduate textbook for students with some background in statistics and data analysis. ([umlaut] Ringgold, Inc., Portland, OR)
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|Article Type:||Book review|
|Date:||Feb 1, 2017|
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