In spatially structured environments, conventional cross validation results in over-optimistic transfer function performance estimates. H
-block cross validation, where all samples within h
kilometres of the test samples are omitted is a method for obtaining unbiased transfer function performance estimates. We assess three methods for determining the optimal h
using simulated data and published transfer functions. Some transfer functions perform notably worse when h
-block cross validation is used.