I have used spatial interpolation to generate a raster that estimates percentage of a variable of interest (e.g. expected percentage at unsampled locations given frequencies at nearby sites). As I am ultimately interested in identifying regions where this percentage is high, I have reclassified the raster so that values below a cutoff (e.g. 90%) are set to 0.
Initially I used inverse distance weighting spatial interpolation in ArcGIS but I'm wondering whether kriging would allow me to estimate some sort of confidence interval/estimates of error of the location of the boundaries where estimates of my variable drops to less than 90%? Does ArcGIS provide output that can be used for such purposes?