Overview
- 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
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 103)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (7 chapters)
-
Front Matter
Keywords
About this book
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.
Reviews
Authors and Affiliations
Bibliographic Information
Book Title: Studies on Time Series Applications in Environmental Sciences
Authors: Alina Bărbulescu
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-30436-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-30434-2Published: 23 March 2016
Softcover ISBN: 978-3-319-80809-3Published: 25 April 2018
eBook ISBN: 978-3-319-30436-6Published: 12 March 2016
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XIII, 187
Number of Illustrations: 62 b/w illustrations, 24 illustrations in colour
Topics: Computational Intelligence, Geotechnical Engineering & Applied Earth Sciences, Artificial Intelligence