I'm doing a project that's looking at a certain disease outbreak and vaccination in California counties using arcmap. I have aggregated data joins for disease outbreak rate, personal belief exemptions, vaccine coverage, and other demographic data (ethnicity, income...). All of the data layers are joined to the CA counties, so location differences is not an issue.
I am looking for a way to analyze the spatial distributions of, for example, personal belief exemptions and a certain ethnicity, to see if the data clusters in similar locations. I was thinking about spatial autocorrelation, but I am not sure if that applies for more than one variable.