Environmental data analysis: methods and applications

With the dramatic development of air-space-ground-sea environmental monitoring networks and large-scale high-resolution Earth simulators, Environmental science is facing opportunities and challenges of big data. Environmental Data Analysis focuses on state-of-the-art models and methods for big envir...

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Bibliographic Details
Main Author: Zhang, Zhihua (Author)
Format: Electronic eBook
Language:English
Published: Berlin ; Boston De Gruyter [2023]
Edition:2nd edition
Subjects:
Online Access:DE-1043
DE-1046
DE-858
DE-573
DE-859
DE-860
DE-703
DE-739
Volltext
Summary:With the dramatic development of air-space-ground-sea environmental monitoring networks and large-scale high-resolution Earth simulators, Environmental science is facing opportunities and challenges of big data. Environmental Data Analysis focuses on state-of-the-art models and methods for big environmental data and demonstrates their applications through various case studies in the real world. It covers the comprehensive range of topics in data analysis in space, time and spectral domains, including linear and nonlinear environmental systems, feature extraction models, data envelopment analysis, risk assessments, and life cycle assessments. The 2nd Edition adds emerging network models, including neural networks, complex networks, downscaling analysis and streaming data on network. This book is a concise and self-contained work with enormous amount of information. It is a must-read for environmental scientists who struggle to conduct big data mining and data scientists who try to find the way into environmental science
Item Description:Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023)
Physical Description:1 Online-Ressource (XII, 388 Seiten)
ISBN:9783111012681
DOI:10.1515/9783111012681

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