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Explores the evolution of air travel, analyzing global figures and reasons for flying, emphasizing the dominance of leisure purposes and the impact of social and spatial attributes.
Covers geographic information systems, digital elevation models, derived variables, visibility analysis, shadow casting, solar radiation, drainage lines, and flood zones.
Introduces exploratory data analysis in environmental health, covering its definition, techniques, and applications in georeferenced health data analysis.
Explains the significance analysis of spatial autocorrelation using Moran's I and random permutations, emphasizing the importance of spatial weighting.