This book covers the comprehensive range of theory, models and algorithms of state-of-the-art multivariate time series analysis and includes a lot of latest research achievements in climate and environmental science. It is a self-contained and accessible guide for researchers and advanced students on how to apply state-of-the-art multivariate time series analysis tools in recent climate and environment research. Main topics include Multivariate Time-Frequency Analysis, Artificial Neural Networks, Stochastic Modeling and Optimization, Spectral Analysis, Global Climate Change, Regional Climate...
This book covers the comprehensive range of theory, models and algorithms of state-of-the-art multivariate time series analysis and includes a lot of ...
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...
With the dramatic development of air-space-ground-sea environmental monitoring networks and large-scale high-resolution Earth simulators, Environmenta...
