  Statistical interpolation of chemical concentrations at new locations is an
important step in assessing a worker's exposure level. When measurements are
available from coastlines, as is the case in coastal clean-up operations in oil
spills, one may need a mechanism to carry out spatial interpolation at new
locations along the coast. In this paper we present a simple model for
analyzing spatial data that is observed over a coastline. We demonstrate four
different models using two different representations of the coast using curves.
The four models were demonstrated on simulated data and one of them was also
demonstrated on a dataset from the GuLF STUDY. Our contribution here is to
offer practicing hygienists and exposure assessors with a simple and easy
method to implement Bayesian hierarchical models for analyzing and
interpolating coastal chemical concentrations.
