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.
Auflage
Sprache
Verlagsort
Zielgruppe
Illustrationen
4
7 s/w Tabellen, 4 s/w Abbildungen
4 b/w ill., 7 b/w tbl.
Dateigröße
ISBN-13
978-3-11-101291-9 (9783111012919)
Schweitzer Klassifikation
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.
