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 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.
