Hafner, ChristianBouché, LucasLucasBouché2025-05-142025-05-142025-05-142023https://hdl.handle.net/2078.2/31363In this master thesis, a case study is carried out using air pollution data. The data are analysed and modelled in time and space. Different statistical modelling methods are used in the study. Interpolation methods are applied to the studied data (kriging, spatio-temporal kriging). In particular, a spatio-temporal kriging is performed which combines a multiple linear regression and a spatio-temporal kriging of the regression residuals. The study shows how the spatio-temporal dependence in the data can affect model predictions.krigeagespatio-temporelanalysemodélisationinterpolationregression krigingkrigingtext::thesis::master thesisthesis:38706