Skip Navigation
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.


The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Internet Explorer is no longer a supported browser.

This website may not display properly with Internet Explorer. For the best experience, please use a more recent browser such as the latest versions of Google Chrome, Microsoft Edge, and/or Mozilla Firefox. Thank you.

Your Environment. Your Health.

Publication Detail

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 Exiting the NIEHS site

MeSH Terms: Bayes Theorem; Data Interpretation, Statistical*; Environmental Monitoring/methods*; Follow-Up Studies; Humans; Occupational Exposure/analysis*

to Top