Spatial autocorrelation refers to the degree to which a set of spatial data points are correlated with themselves through space. In simpler terms, it measures how much the value of a variable in a specific location is similar to values of the same variable in nearby locations. This concept is particularly important in epidemiology because diseases often exhibit spatial patterns due to various factors such as environmental conditions, social behaviors, and population density.
