Spatial scan statistics typically involve sliding a scanning window of varying size and shape across the study area. This window evaluates the number of observed cases within the window against the number expected under a null hypothesis, which assumes a random distribution of cases. The most likely cluster is identified as the window with the highest likelihood ratio, a measure comparing the observed and expected case counts.