Studies on Time Series Applications in Environmental Sciences

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Science & Nature, Science, Earth Sciences, General Computing
Cover of the book Studies on Time Series Applications in Environmental Sciences by Alina Bărbulescu, Springer International Publishing
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Author: Alina Bărbulescu ISBN: 9783319304366
Publisher: Springer International Publishing Publication: March 12, 2016
Imprint: Springer Language: English
Author: Alina Bărbulescu
ISBN: 9783319304366
Publisher: Springer International Publishing
Publication: March 12, 2016
Imprint: Springer
Language: English

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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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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