Dear R-sig-geo members,

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.

Previously, I'd been using SatScan for this analysis, but I also want to use
something with more flexibility.  My question is, do any of the R spatial
packages have the capability to handle this analysis?  I've looked through
some - the closest I've found is splancs::stmctest, but that is only for
case event (point) data, not areal data with known population numbers.
Other clustering analyses like spdep::skater don't have a space-time
component.

Does anyone know of a R spatial package that can be of any help?

Thanks in advance,
Joe Abrams

	[[alternative HTML version deleted]]

