Abstract—Due to the development that different techniques of data analysis have achieved in recent years, some of them applied to the particular case of climatic variables obtained from the province of Salamanca (Spain), are detailed and analyzed in this study. The analysis was performed by using R software, specifically developed for statistical computing. The aims of this work are to obtain some statistical indicators that allow us to make a climatologic study as complete as possible in the mentioned area.

Index Terms—Climate data, climate variables, R software statistical index.

A. Hernández Encinas and A. Queiruga Dios are with the Department of Applied Mathematics, E.T.S.I.I. of Béjar. University of Salamanca. Fernando Ballesteros, 37700 Béjar, Salamanca, Spain (e-mail: ascen@usal.es, queirugadios@usal.es).
L. Hernández Encinas and V. Gayoso Martínez are with the Department of Information Processing and Coding, Information Security Institute (ISI), CSIC. Serrano 144, 28006 Madrid, Spain (e-mail: luis@iec.csic.es, victor.gayoso@iec.csic.es).

Cite:Ascensión Hernández Encinas, Araceli Queiruga Dios, Luis Hernández Encinas, and Víctor Gayoso Martínez, "Statistical Analysis from Time Series Related to Climate Data," International Journal of Applied Physics and Mathematics vol. 3, no. 3, pp. 203-207, 2013.