<abstract xmlns="http://www.w3.org/1999/xhtml"><p> The analysis and management of Hydrology time series is used for the development of models that allow predictions on future evolutions. After identifying the trends and the seasonal components, a residual analysis can be done to correlate them and make a prediction based on a statistical model. Programming language R contains multiple packages for time series analysis: ‘hydroTSM’ package is adapted to the time series used in Hydrology, package ‘TSA’ is used for general interpolation and statistical analysis, while the ‘forecast’ package includes exponential smoothing, all having outstanding capabilities in the graphical representation of time series. The purpose of this paper is to present some applications in which we use time series of precipitation and temperature from Fagaras in the time period 1966-1982. The data was analyzed and modeled by using the R language.</p></abstract>

The analysis and management of Hydrology time series is used for the development of models that allow predictions on future evolutions. After identifying the trends and the seasonal components, a residual analysis can be done to correlate them and make a prediction based on a statistical model. Programming language R contains multiple packages for time series analysis: ‘hydroTSM’ package is adapted to the time series used in Hydrology, package ‘TSA’ is used for general interpolation and statistical analysis, while the ‘forecast’ package includes exponential smoothing, all having outstanding capabilities in the graphical representation of time series. The purpose of this paper is to present some applications in which we use time series of precipitation and temperature from Fagaras in the time period 1966-1982. The data was analyzed and modeled by using the R language.

R Language: Statistical Computing and Graphics for Modeling Hydrologic Time Series

Assistant Professor, Technical University of Civil Engineering Bucharest, Mathematics and Computer Science Department

Modelling in Civil Environmental Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The analysis and management of Hydrology time series is used for the development of models that allow predictions on future evolutions. After identifying the...

R Language: Statistical Computing and Graphics for Modeling Hydrologic Time Series

Pubblicato online: 03 mar 2015

Pagine: 9 - 18

DOI: https://doi.org/10.2478/mmce-2014-0018

Parole chiave
R programming language, Hydrology, Graphics, forecast, Holt-Winters

© by Gabriela-Roxana Dobre

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

R Language: Statistical Computing and Graphics for Modeling Hydrologic Time Series

Pubblicato online: 03 mar 2015

Pagine: 9 - 18

DOI: https://doi.org/10.2478/mmce-2014-0018

Parole chiaveR programming language, Hydrology, Graphics, forecast, Holt-Winters

© by Gabriela-Roxana Dobre

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Parole chiave
R programming language, Hydrology, Graphics, forecast, Holt-Winters