This repository contains the data and the R scripts for Wolf & Tollefsen 2021, “A Bayesian approach to incorporating spatiotemporal variation and uncertainty limits into modeling of predicted environmental concentrations (PECs) from chemical monitoring campaigns”. The article will be published in Environmental Science & Technology, doi:10.1021/acs.est.0c06268.
To analyze the data, the statistical software R 4.0.1 or higher needs to be installed, as well as Rtools 40 for users operating from Windows.
The package {brms} needs to be installed as well. Within R, execute the following command to install:
install.packages("brms")All scripts are inside the scripts/ folder of this repository. For
each of the three campaigns, a separate R file exists: sorfjord.R for
the Sørfjord campaign, kaldvellfjord.R for the Kaldvellfjord campaign,
and oslofjord.R for the Oslofjord campaign.
Additionally, the file empirical_prior.R contains a custom function to
calculate empirical priors. Detailed information on the modeling
procedure and the calculations of the empirical priors are given in the
Supporting Information of the publication.