Studies on Time Series Applications in Environmental Sciences

• Κύριος συγγραφέας: Bărbulescu, Alina (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Έκδοση: 1st ed. 2016.
• Σειρά: Intelligent Systems Reference Library, 103
• Θέματα: Engineering.; Geotechnical engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Geotechnical Engineering & Applied Earth Sciences.; Artificial Intelligence (incl. Robotics).
• Φυσική περιγραφή: XIII, 187 p. 86 illus., 24 illus. in color. online resource.
• ISBN: 9783319304366
• ISSN: 1868-4394 ;

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.  .