Hello,

I recently downloaded your ArcGIS toolbox and am very impressed by how well the tools work and the great variety and quantity of useful tools that are made available. I have experimented a little with the GLM and CART tools provided in the toolbox and am excited about the potential for these tools. The question I have is this: is there or will there be the capability to perform Random Forest modeling with MGET?

The reason I ask is that random forest is also available in R and overcomes a lot of the problems associated with CART. There is a tool in R called ModelMap that does Random Forest modeling, but it would be much easier and more seamless to run RF models using MGET.

Also, something I have been unclear about is whether it is possible to identify predictor variables as categorical using the MGET modeling tools. Most of the programs I have used that employ statistical techniques that handle a variety of predictor variable types (i.e., continuous, ordinal, nominal) ask for categorical variables to be specifically identified. Are the modeling tools in MGET treating all predictor variables as continuous?

Michael

Michael Heilen, PhD, RPA

Research Director and Principal Investigator

Statistical Research, Inc.

571-248-2100 (voice)