The analysis and recognition of disease clustering in space and its re
presentation on a map is one of the oldest problems in epidemiology. S
ome traditional methods of constructing such a map are presented. An a
lternative approach using mixture models to identify population hetero
geneity and map construction within an empirical Bayes framework is de
scribed. For hepatitis B data from Berlin in 1989, a map is presented
and the different methods are evaluated using a parametric bootstrap a
pproach.