Studies on Time Series Applications in Environmental Sciences
Buch in deiner Nähe kaufen
Beschreibung
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.
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.
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
Autor*in
Alina Bărbulescu
Themen in »Studies on Time Series Applications in Environmental Sciences«
Artificial Neural Networks Atmospheric Forecasting Box-Jenkins Methodology Computational Geosciences Geophysical Modeling Geostatistics Intelligent Systems Support Vector Regression
Stimmen zu »Studies on Time Series Applications in Environmental Sciences«
“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)
()