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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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Lenguaje: | eng |
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Springer
2016
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Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-30436-6 http://cds.cern.ch/record/2143518 |
_version_ | 1780950216454701056 |
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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. . |
id | cern-2143518 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2016 |
publisher | Springer |
record_format | invenio |
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 |