Lecture
This lecture introduces the concept of spatial autocorrelation, focusing on the measurement of a spatial weights matrix to assess the intensity of geographic relationships between observations in a neighborhood. It covers classic spatial autocorrelation statistics that compare spatial weights to covariance relationships at pairs of locations, along with practical applications in spatial weighting schemes and the use of Moran's I as a regression coefficient.