The two posts I found that I may benefit the most from are:
- Supplemental Spatial Statistics Toolbox: http://www.arcgis.com/home/item.html?id=694e0f97355740d7bba6b8b356c0b925
The tools for integrated spatial autocorrelation and exploratory regression analysis seem like they would be useful for investigating spatial relationships and identifying important response variables for spatial models.
- Integrating R and ArcGIS:
http://www.arcgis.com/home/item.html?id=a5736544d97a4544aa47d06baf910f6d
I’ve spent much more time in R running spatial models than in Arc, having to bring model outputs into Arc for mapping after the analysis is complete. For more complex models, this is probably still the most efficient method, but for simpler analysis it may be easier to run the analysis and produce maps in Arc.
I also found the regression analysis pages very useful as a reference, in addition to the page on ‘Finding a Meaningful Model’ http://www.esri.com/news/arcuser/0111/findmodel.html . The tutorials for hot spot, regression analysis, and model builder seem like they would be worthwhile to run through and of general benefit to others in the class.
Kevin Buffington
