Studies on Time Series Applications in Environmental Sciences

by Alina Barbulescu

Overview

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.

Product Details

ISBN-13:	9783319304342
Publisher:	Springer International Publishing
Publication date:	03/13/2016
Series:	Intelligent Systems Reference Library , #103
Edition description:	1st ed. 2016
Pages:	187
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

Hypotheses Testing on Meteorological Time Series.- Mathematical Methods Applied for Modeling Meteorological Time Series.- Models for Precipitation Series.- Modeling the Precipitation Evolution at Regional Scale.- Analysis and Models for Surface Water Quality.- Models for Pollutants Dissipation.- Spatial Interpolation with Applications.

Editorial Reviews

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)

From the Publisher