Title: Coastline Kriging: A Bayesian Approach.
Authors: Abdalla, Nada; Banerjee, Sudipto; Ramachandran, Gurumurthy; Stenzel, Mark; Stewart, Patricia A
Published In Ann Work Expo Health, (2018 08 13)
Abstract: 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 article, 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 (Gulf Long-term Follow-up 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.
PubMed ID: 30052748
MeSH Terms: Bayes Theorem; Data Interpretation, Statistical*; Environmental Monitoring/methods*; Follow-Up Studies; Humans; Occupational Exposure/analysis*