Covers geographic information systems, digital representation, spatial analysis, societal interactions, and the role of models in understanding territories.
Covers interactions between raster and vector data layers in GIS, including extracting information at specific points and calculating statistics within polygon zones.
Covers discrete geographic variables and their geometric properties, including how to characterize them using indices like the Gravelius compactness index.
Introduces the Applied Data Analysis course at EPFL, covering a broad range of data analysis topics and emphasizing continuous learning in data science.
