  In this note we discuss (Gaussian) intrinsic conditional autoregressive (CAR)
models for disconnected graphs, with the aim of providing practical guidelines
for how these models should be defined, scaled and implemented. We show how
these suggestions can be implemented in two examples on disease mapping.
