Covers discrete geographic variables and their geometric properties, including how to characterize them using indices like the Gravelius compactness index.
Explains the significance analysis of spatial autocorrelation using Moran's I and random permutations, emphasizing the importance of spatial weighting.
Introduces Geographically Weighted Regression, a spatially explicit approach to measure relationships between variables with location-specific outputs.
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.