The Impact of Generalised Spatial Data on the Incidence Density of Selected Offences in Krakow

Abstract

The article presents an analysis of the spatial distribution of selected categories of offences in the city of Krakow. The data was taken from reports made by citizens of Krakow via the National Safety Risk Map. The first stage involved calibrating the data. Then, spatial clusters of the data were identified due to the fact that in some areas of the city the points occurred in large concentrations, which could have a significant impact on the spatial analysis of the described phenomena. As a result of clustering, a generalised distribution of data was obtained and presented on a map. Based on calculations, a comparative analysis was performed on data before and after the generalisation. The method employed was the kernel density estimation. A comparison of the data within the boundaries of different sub-districts made it possible to assess whether generalisation significantly affects the density distribution of the analysed phenomena.