Introduces exploratory data analysis in environmental health, covering its definition, techniques, and applications in georeferenced health data analysis.
Explores the intricacies of geographical reflection, emphasizing precise location decisions in cartography and the creative potential of cartographic distortions.
Explains the significance analysis of spatial autocorrelation using Moran's I and random permutations, emphasizing the importance of spatial weighting.
