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Multivariate time series analysis in...

Zhang, Zhihua.

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Multivariate time series analysis in climate and environmental research

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multivariate time series analysis in climate and environmental research/ by Zhihua Zhang.
Author:	Zhang, Zhihua.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	xii, 287 p. :ill., digital ;24 cm.
[NT 15003449]:	Multivariate Harmonic Analysis -- Multivariate Wavelets and Framelits -- Artificial Neural Networks -- Stochastic Modeling and Optimization -- Spectral Analysis -- Global Climate Change -- Regional Climate Change -- Ecosystem and Carbon Cycle -- Paleoclimate -- Strategies for climate change mitigation.
Contained By:	Springer eBooks
Subject:	Climatology - Statistical methods. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-67340-0
ISBN:	9783319673400

Multivariate time series analysis in climate and environmental research
Zhang, Zhihua.

Multivariate time series analysis in climate and environmental research[electronic resource] /by Zhihua Zhang. - Cham :Springer International Publishing :2018. - xii, 287 p. :ill., digital ;24 cm.

Multivariate Harmonic Analysis -- Multivariate Wavelets and Framelits -- Artificial Neural Networks -- Stochastic Modeling and Optimization -- Spectral Analysis -- Global Climate Change -- Regional Climate Change -- Ecosystem and Carbon Cycle -- Paleoclimate -- Strategies for climate change mitigation.

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.

ISBN: 9783319673400

Standard No.: 10.1007/978-3-319-67340-0doiSubjects--Topical Terms:

566570
Climatology
--Statistical methods.

LC Class. No.: QC981

Dewey Class. No.: 333.7

Multivariate time series analysis in climate and environmental research
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245 1 0 $a Multivariate time series analysis in climate and environmental research $h [electronic resource] / $c by Zhihua Zhang.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xii, 287 p. : $b ill., digital ; $c 24 cm.
505 0 $a Multivariate Harmonic Analysis -- Multivariate Wavelets and Framelits -- Artificial Neural Networks -- Stochastic Modeling and Optimization -- Spectral Analysis -- Global Climate Change -- Regional Climate Change -- Ecosystem and Carbon Cycle -- Paleoclimate -- Strategies for climate change mitigation.
520 $a 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.
650 0 $a Climatology $x Statistical methods. $3 566570
650 0 $a Multivariate analysis. $3 517467
650 0 $a Time-series analysis. $3 532530
650 1 4 $a Environment. $3 594032
650 2 4 $a Climate Change. $3 894284
650 2 4 $a Physical Geography. $3 893400
650 2 4 $a Oceanography. $3 535383
650 2 4 $a Ecology. $3 516476
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 1005896
710 2 $a SpringerLink (Online service) $3 836513
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856 4 0 $u http://dx.doi.org/10.1007/978-3-319-67340-0
950 $a Earth and Environmental Science (Springer-11646)