Diggle's method compares the distribution of case locations to controls. The method is based on the idea that distribution of the control locations has no relationship to the focus, so the raised density model (below) equals 1 (alpha = 0) and is not important for the control locations.
ClusterSeer implements one raised density model, graphed below:
ClusterSeer determines the model parameters using maximum likelihood estimation, beginning with initial values you specify.
