A fast computational algorithm incorporates this important property, determining the cutting point to control the false alarm rate, thus making a viable tool for the detection of emerging clusters in geographical maps, where the baseline of the number of cases has nonconstant average. The greater flexibility of the candidate clusters' shape produces a better estimation of the most likely cluster.