Hi Joe,
> I am using space-time cluster analysis to search for areas/times of high > disease incidence. My data is aggregated by geographic areas with known > background population numbers. So under the null hypothesis, the number of > cases in a given location/time period is Poisson distributed, dependent on > the number of person-years. Some of the code in DCluster and spatclus may be adapted to detect clusters in space and time. I am planning to add a space-time version of the spatial scan statistic but there is no code at the moment. However, it should not be difficult to implement. Basically, you need to aggregate data over a temporal window and then perform a spatial test. Hope this helps. Virgilio _______________________________________________ R-sig-Geo mailing list R-sig-Geo@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-geo
