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Offshore Wind and Surf-Tourism Game Model Artifact

This repository contains the reproducible artifact for the article "Negotiating Offshore Wind and Surf-Tourism Interests: A Peniche-Based Game-Theoretic Model".

The repository root is the active submission package. Files and scripts that are not needed to reproduce or audit the article are preserved under legacy/.

Reproduce the Article Figures

Install the Python dependencies and run the deterministic workflow from the repository root:

pip install -r requirements.txt
python .\run_peniche_offshore_analysis.py

The script regenerates the payoff tables, sensitivity outputs, article figures, and figure traceability files in the root-level folders listed below.

Main Files

  • run_peniche_offshore_analysis.py - deterministic Python workflow used to regenerate the article outputs.
  • offshore_model_exploration.ipynb - interactive Jupyter notebook with defaults aligned with the manuscript calibration.
  • requirements.txt - Python dependencies.
  • model_parameters.csv - baseline parameter values used by the workflow.
  • baseline_payoff_matrix.csv - baseline payoff matrix cited in the article.
  • sensitivity_grid.csv - full sensitivity grid generated by the workflow.
  • sensitivity_summary.csv - aggregated sensitivity summary.
  • article_figure_index.csv - machine-readable mapping between article figures and source CSV files.
  • article_figure_traceability.md - human-readable figure traceability table.
  • parameter_audit.md - parameter audit, source checks, and remaining methodological qualifications.
  • model_parameter_source_notes.md - notes linking model parameters to source material and calibration choices.
  • supplementary_notes.md - supplementary explanations moved out of the manuscript appendix.
  • curated_reference_inventory.md - navigation aid for the supporting literature.

Main Folders

  • article_figures/ - regenerated figures used in the manuscript, including grafico1.png through grafico9.png.
  • traceability/ - CSV files supporting each regenerated article figure.
  • data/ - source documents and extracted data used to support the article and parameter audit.
  • legacy/ - superseded scripts, old workspace material, build artifacts, and files not used by the active article artifact.

Calibration Status

The article uses a Peniche/WSL order-of-magnitude calibration: R=100, LR=20, Cs=2, I=22, L=4.4, alpha=0.1, Ca=3, G=4.4, and P=0.5. Low, medium, and high impact scenarios set L to 20%, 40%, and 90% of I, respectively.

Parameters such as P, G, Ca, Cs, LR, and alpha are sensitivity or normalized scenario parameters rather than observed empirical estimates. This status is documented in parameter_audit.md.

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