Environmental Data Analysis : Methods and Applications

Zhihua Zhang

ISBN 10: 3111012549 / ISBN 13: 9783111012544

Published by De Gruyter, 2023

About this Item

Neuware - 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.

Seller Inventory # 9783111012544

Bibliographic Details

• Title: Environmental Data Analysis : Methods and Applications
• Publisher: De Gruyter
• Publication Date: 2023
• Language: English
• ISBN 10: 3111012549
• ISBN 13: 9783111012544
• Binding: Buch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 240W x 170H x 30D millimeters 240 millimeters width by 170 millimeters height by 30 millimeters depth
• Weight: 915 grams

About this title

Synopsis

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.

About the Author

Zhihua Zhang is a Taishan Distinguished Professor at Shandong University, China. His research interests are Big Data Mining, Climate Change Mechanisms, Environmental Evolution and Sustainability. He has published 6 first-authored books in Elsevier/Springer/DeGruyter and published more than 60 first-authored articles, some of which were reported by New Scientist (UK), China Science Daily, and China Social Science Daily. Prof. Zhang is serving as the Editor-in-Chief of Int J Big Data Mining for Global Warming (World Scientific), Topical Chief Editor of Arab J Geosci (Springer), Associate Editor of Environ Dev Sustain (Springer), Associate Editor of EURASIP J Adv Signal Process (Springer), Associate Editor of Int J Climate Change Strat & Manag (Emerald), etc.