Dear List, This is not strictly an R question so I hope it is allowed. I am a little unsure of what type of analysis I need to use next so hoping someone can point me in the right direction.
I have point data representing cases of disease. I also have population data attached to polygons. I have used this to calculate areal standardised incidence rates and applied the BYM model via Bayesian methods to draw a smoothed relative risks map. Now I would like to check for correlation between this risk and spatial data from other sources - e.g. soil mineral measurements etc. Note that the cases and soil measurements are not colocated. What should be my next step ? Do I need to krig the soil data and get mean values per polygon ? Or should I be taking an entirely different approach here ? Again apologies if this is off-topic. Many thanks, James _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo
