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arXiv · 1807.02230

Coastline Kriging: A Bayesian Approach

Nada Abdalla·Sudipto Banerjee·Gurumurthy Ramachandran·Mark Stenzel·Patricia A. Stewart
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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 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.

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Nada Abdalla, Sudipto Banerjee, Gurumurthy Ramachandran, Mark Stenzel, Patricia A. Stewart. 2018-07-06. Coastline Kriging: A Bayesian Approach. https://doi.org/10.1093/annweh%2Fwxy058

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