The document discusses spatial analysis techniques for analyzing health data related to Campylobacter infections in the Czech Republic. It summarizes using geographic information systems to visualize spatial patterns of disease incidence and identify clusters. Disease data from 2008-2012 was aggregated and analyzed using kriging, spatial scan statistics, and models to understand the occurrence and clustering of Campylobacter infections over space and time. Key findings included identifying high incidence clusters in various regions of the Czech Republic.