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Published November 4, 2022 | Version 1.0.1
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Code Repository for "Integrating Water Quality Data with a Bayesian Network Model to Improve Spatial and Temporal Phosphorus Attribution: Application to the Maumee River Basin"

Creators

  • 1. Symbolic Systems Program, Stanford University, Stanford, CA, USA
  • 2. Department of Geophysics, Stanford University, Stanford, CA, USA
  • 3. Regulation, Evaluation, and Governance Lab, Stanford University, Stanford, CA, USA
  • 4. Department of Statistics, Stanford University, Stanford, CA, USA

Description

Source code for "Integrating Water Quality Data with a Bayesian Network Model to Improve Spatial and Temporal Phosphorus Attribution: Application to the Maumee River Basin" submitted to Water Resources Research. This repository contains the prior distribution construction, network model framework, and post-processing code for generating results and figures used in the manuscript.

Notes

This work is supported by Stanford Impact Labs, Stanford Woods Institute for the Environment, The Chicago Community Trust, and Chicago Community Foundation, and by the Stanford Graduate Fellowship in Science and Engineering awarded to ZW.

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During the review process of the corresponding manuscript, we only provide necessary access for review upon request. After the manuscript is published, we will switch to open access.

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