I'm using Moran's I to see whether there are clusters of births rates present among the 83 Michigan counties, and, if so, whether the clustering is statistically significant.
The inputs are the feature locations (counties) and the feature values (the total fertility rate values we've calculated for each county).
But now I'm stuck because I'm unsure which method I should use to model the spatial relationship. It seems like "polygon continuity", "K nearest neighbors", or the option to "generate spatial weights matrix file" could apply.
Should I select the option to generate a spatial weights matrix, since the total fertility rates for all 83 counties would likely need to be assessed entirely in order to determine the boundaries for clusters?