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Studies on Time Series Applications in Environmental Sciences: Intelligent Systems Reference Library, cartea 103

Autor Alina Bărbulescu
en Limba Engleză Hardback – 23 mar 2016
Time series analysis and modelling represent a large study field, implying the approach from the perspective of the time and frequency, with applications in different domains. Modelling hydro-meteorological time series is difficult due to the characteristics of these series, as long range dependence, spatial dependence, the correlation with other series. Continuous spatial data plays an important role in planning, risk assessment and decision making in environmental management.  
In this context, in this book we present various statistical tests and modelling techniques used for time series analysis, as well as applications to hydro-meteorological series from Dobrogea, a region situated in the south-eastern part of Romania, less studied till now. Part of the results are accompanied by their R code.  
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Specificații

ISBN-13: 9783319304342
ISBN-10: 3319304348
Pagini: 180
Ilustrații: XIII, 187 p. 86 illus., 24 illus. in color.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.46 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Intelligent Systems Reference Library

Locul publicării:Cham, Switzerland

Cuprins

Hypotheses Testing on Meteorological Time Series.- Mathematical Methods Applied for Modeling Meteorological Time Series.- Models for Precipitation Series.- Modeling the Precipitation Evolution at Regional Scale.- Analysis and Models for Surface Water Quality.- Models for Pollutants Dissipation.- Spatial Interpolation with Applications.

Recenzii

“I enjoyed reading this carefully written book and would certainly recommend it to postgraduate students and researchers of meteorology, and applied mathematicians and statisticians who deal with such environmental science data.” (Computing Reviews, October, 2017)

Textul de pe ultima copertă

Time series analysis and modelling represent a large study field, implying the approach from the perspective of the time and frequency, with applications in different domains. Modelling hydro-meteorological time series is difficult due to the characteristics of these series, as long range dependence, spatial dependence, the correlation with other series. Continuous spatial data plays an important role in planning, risk assessment and decision making in environmental management.  
In this context, in this book we present various statistical tests and modelling techniques used for time series analysis, as well as applications to hydro-meteorological series from Dobrogea, a region situated in the south-eastern part of Romania, less studied till now. Part of the results are accompanied by their R code.  

Caracteristici

Interdisciplinary approach to time series modeling and forecasting applied to environmental sciences and computational geosciences Presents Time Series Applications in Environmental Sciences, especially in the field of meteorology and hydrology Provides various examples and alternative solutions Includes supplementary material: sn.pub/extras