Time Series Analysis of Chosen Climatological Data Using the Programming Language R

This bachelor's thesis focuses on the analysis of climatological time series, specifically on monthly average air temperatures and precipitation totals measured at selected meteorological stations in Europe. The stations include Berlin Brandenburg, Warsaw Bielany, Prague Klementinum, Vienna Innere Stadt, and Bratislava Letisko, from which climatological data were obtained. The R programming language was used for data analysis. The aim of the thesis is to assess changes in climatological indicators or monitor long-term developments in Europe and to compare the differences between individual stations. The theoretical part describes the basic methods of time series analysis, such as descriptive statistics, time series decomposition, methods for detecting seasonality, assessing its magnitude, and modeling linear trends. The practical part presents the analysis of time series for five selected European cities. The results of the analysis, which highlight clear seasonality and trend patterns (especially the increase in average monthly temperatures), can serve as a basis for assessing climate change.