This paper presents a statistical approach, originally developed for m
apping disease risk, to ecological regression analysis in the presence
of spatial autocorrelated extra-Poisson variation. An, insight into t
he effect of allowing for Spatial autocorrelation on the relationship
between disease rates and explanatory variables is given. Examples bas
ed on cancer frequency in Scotland and Sardinia are used to illustrate
the interpretation of regression coefficient and further methodologic
al issues.