Abstract
In the recent years, space-time point processes were recognised as a valuable tool in modelling dierent random events in fields such as biology, medicine, material sciences or economy. Nevertheless, new applications occur frequently.
This paper concerns the use of the space-time point processes for modelling of submissions to municipalities in the Czech Republic. The positions and times of submissions are considered to be coordinates in the subset of Euclidean space, so they form a space-time point pattern which is to be analysed.
Both continuous and discrete approaches to statistical inference and modelling are employed and their advantages and disadvantages are described. Finally, the most appropriate model is chosen, fitted to the data and its suitability is justied through classical methods of spatial statistics using mainly simulations.