Time Series Analysis of Air Pollutant Concentration in the Czech Republic Using the Programming Language R

This bachelor thesis deals with the analysis of time series of the concentration of four different air pollutants from the perspective of monthly and annual averages using the programming language R. The values of these time series were obtained from the Czech Hydrometeorological Institute and were measured at five localities in different regions of Czech Republic in the period from April 1996 to December 2019. This thesis aims to evaluate the development (trend) of concentrations of carbon oxides, ozone, particles smaller than 10 micrometers and sulfur dioxide, measured at stations ALIBA Praha 4 – Libuš, BMISA Mikulov – Sedlec, CCBDA České Budějovice, TKARA Karviná and UULKA Ústí nad Labem – Kočkov. The thesis also aims to approach the R language and the tools it provides for time series analysis. To obtain an overview of time series, mainly descriptive characteristics and methods based on the assumption of additive decomposition were used. A regression approach to the seasonal component was used to examine the trend and seasonal components.