UID:
almafu_9961013996802883
Format:
1 online resource (XII, 388 p.)
Edition:
2nd Edition
ISBN:
9783111012681
Content:
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.
Note:
Frontmatter --
,
Preface of the 2nd edition --
,
Preface --
,
Contents --
,
1 Time series analysis --
,
2 Chaos and dynamical systems --
,
3 Approximation --
,
4 Interpolation --
,
5 Patterns --
,
6 Estimates --
,
7 Optimization --
,
8 Data envelopment analysis --
,
9 Risk assessments --
,
10 Life cycle assessments --
,
11 Networks --
,
Index
,
Issued also in print.
,
In English.
Additional Edition:
ISBN 9783111012919
Additional Edition:
ISBN 9783111012544
Language:
English
Subjects:
General works
DOI:
10.1515/9783111012681
URL:
https://doi.org/10.1515/9783111012681
URL:
https://www.degruyter.com/isbn/9783111012681
URL:
https://doi.org/10.1515/9783111012681
URL:
https://www.degruyter.com/isbn/9783111012681
