Just to clarify the point on the convergence between the confidence envelope and the observed line from the previous post. Theoretically, they should indeed converge at the MAX(L(t)) for a given study area size and the number of points - but only at a distance of at least half of the maximum dimension of the study area. And in cases of geometrically simple study areas and unweighted K simulations, the confidence envelopes should not deviate too much from the Expected line (apart from the usual boundary-effect drop-off at larger distances) �?? as Lauren has repeatedly mentioned. The problem is, unweighted simulations sometimes seem to behave similar to the weighted ones�?�