This repository contains the contents to run the case study described in the manuscript "A computational framework for agent-based assessment of multiple environmental exposures". Users on Linux operating systems should be able to execute the model script.
Required additional input data can be downloaded from Zenodo.
A few steps are required to run the case study.
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You will need a working Python environment, we recommend to install Miniforge. Follow their instructions given ati e.g.:
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Open a terminal and browse to a location where you want to store the course contents.
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Clone this repository, or download and uncompress the zip file. Afterwards change to the
paper_agent_based_exposure_assessmentfolder. -
Create the required Python environment:
conda env create -f environment/environment.yaml
The environment file will create a environment named casestudyutrecht using Python 3.10. In case you prefer a different name you need to edit the environment file.
The user guide and short reference on Conda can be found here.
Execute the script run.sh. It will run 25 realisations for homemaker and commuter.