Lecture
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.