Explores the nearest neighbours method in spatial analysis, covering distribution assessment, R index computation, and statistical testing for clustering.
Covers geographic information systems, digital representation, spatial analysis, societal interactions, and the role of models in understanding territories.
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.
Covers discrete geographic variables and their geometric properties, including how to characterize them using indices like the Gravelius compactness index.