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Studies on time series applications in environmental sciences

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...

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Detalles Bibliográficos
Autor principal: Bărbulescu, Alina
Lenguaje:eng
Publicado: Springer 2016
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-30436-6
http://cds.cern.ch/record/2143518
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author Bărbulescu, Alina
author_facet Bărbulescu, Alina
author_sort Bărbulescu, Alina
collection CERN
description 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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institution Organización Europea para la Investigación Nuclear
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publishDate 2016
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spelling cern-21435182021-04-21T19:45:06Zdoi:10.1007/978-3-319-30436-6http://cds.cern.ch/record/2143518engBărbulescu, AlinaStudies on time series applications in environmental sciencesEngineeringTime 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. .Springeroai:cds.cern.ch:21435182016
spellingShingle Engineering
Bărbulescu, Alina
Studies on time series applications in environmental sciences
title Studies on time series applications in environmental sciences
title_full Studies on time series applications in environmental sciences
title_fullStr Studies on time series applications in environmental sciences
title_full_unstemmed Studies on time series applications in environmental sciences
title_short Studies on time series applications in environmental sciences
title_sort studies on time series applications in environmental sciences
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-30436-6
http://cds.cern.ch/record/2143518
work_keys_str_mv AT barbulescualina studiesontimeseriesapplicationsinenvironmentalsciences