Dear all, Thanks to everybody for your input. Here is a summary of these suggestions: Carlos Carrol and Nicholas Kewin-Koh both suggested: 1) an Splus function by Fred Huffer (Fred was very helpful and was able to tweak the program to run in R) 2) an Splus function by Jennifer Hoeting Both of these programs can be found at their websites: http://stat.fsu.edu/~huffer/ www.stat.colostate.edu/~jah Carlos also suggested GeoBUGS software. Brian Gray suggested several references and an excerpt from his reply follows: Gotway, C.A. and W.W. Stroup. 1997. A generalized linear model approach to spatial data analysis and prediction. Journal of Agricultural, Biological, and Environmental Statistics 2: 157-178. Gumpertz, M.L., C. Wu and J.M. Pye. 2000. Logistic regression for Southern Pine Beetle outbreaks with spatial and temporal correlation. Forest Science 46: 95-107. Wolfinger, R. 1993. Covariance structure selection in general mixed models. Communications in Statistics�Simulations 22: 1079-1106. Wolfinger, R. and M. O'Connell. 1993. Generalized Linear Mixed Models: A Pseudo- Likelihood Approach. Journal of Statistical Computation and Simulation 48: 233- 243. Hoeting, Leecaster and Bowden 2000 (JABES) Gumpertz et al. 1997 (JABES) "Without lat/long info, you could try using a robust variance estimate such as is offered by SAS's PROC GENMOD to model your data. I suspect that this will be reasonable but somewhat inefficient. If you have spatial coordinates or can make some inferences on those coordinates, then you can use SAS's GLIMMIX macro (I posted on this topic earlier). This macro repeatedly calls PROC MIXED and can use all or virtually all of the options/statements available under that proc. These statements include the ability to treat transect as a random variable (also possible in GENMOD) and to explicitly model spatial correlation (not possible in GENMOD). However, GLIMMIX does so within a generalized linear model framework--in other words, members of the exponential family of distributions, including the binomial, may be modeled." Thanks again for the input, Agnes ==================================== Agnes Wong M.Sc. Candidate Environmental Biology and Ecology Dept. Biological Sciences Edmonton, AB [EMAIL PROTECTED] ==================================== -- * To post a message to the list, send it to [EMAIL PROTECTED] * As a general service to the users, please remember to post a summary of any useful responses to your questions. * To unsubscribe, send an email to [EMAIL PROTECTED] with no subject and "unsubscribe ai-geostats" followed by "end" on the next line in the message body. DO NOT SEND Subscribe/Unsubscribe requests to the list * Support to the list is provided at http://www.ai-geostats.org
