Multivariate Time Series Analysis in Climate and Environmental Research (Hardcover, 1st ed. 2018)

This book offers comprehensive information on the theory, models and algorithms involved in state-of-the-art multivariate time series analysis and highlights several of the latest research advances in climate and environmental science. The main topics addressed include Multivariate Time-Frequency Analysis, Artificial Neural Networks, Stochastic Modeling and Optimization, Spectral Analysis, Global Climate Change, Regional Climate Change, Ecosystem and Carbon Cycle, Paleoclimate, and Strategies for Climate Change Mitigation. The self-contained guide will be of great value to researchers and advanced students from a wide range of disciplines: those from Meteorology, Climatology, Oceanography, the Earth Sciences and Environmental Science will be introduced to various advanced tools for analyzing multivariate data, greatly facilitating their research, while those from Applied Mathematics, Statistics, Physics, and the Computer Sciences will learn how to use these multivariate time series analysis tools to approach climate and environmental topics.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	December 2017
First published:	2018
Authors:	Zhihua Zhang
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	287
Edition:	1st ed. 2018
ISBN-13:	978-3-319-67339-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Ecological science, the Biosphere Books > Earth & environment > Earth sciences > The hydrosphere > Oceanography (seas) Books > Earth & environment > Geography > Physical geography > General Books > Earth & environment > The environment > Pollution & threats to the environment > Global warming
LSN:	3-319-67339-4
Barcode:	9783319673394

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