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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture introduces the concept of global spatial autocorrelation, focusing on the determination of spatial weighting schemes and the interpretation of Moran's I as a regression coefficient. It covers criteria for defining neighborhood in point and polygon data, spatial weighting schemes, and the significance assessment of Moran's I through random permutations.