Published November 4, 2022
| Version 1.1.0
Software
Open
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". 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.
Files
source-attribution-1.1.zip
Files
(35.9 MB)
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