From Geodynamic Preconditioning to Mineral System Fertility: A Spatio-Temporal Analysis of Craton-Edge Sediment-Hosted Deposits
This workflow consists mainly of two parts.
The first part, involving feature extraction and deposit–craton analysis, is adopted from the framework developed by Shirmard et al. (2025, 2026) and has been further refined to extract relevant features (Notebooks 01 and 02s).
DOI: https://doi.org/10.1016/j.gsf.2025.102176
DOI: https://doi.org/10.1038/s41467-026-74134-5
The second part is based on the mineral prospectivity (STAMP) framework, which was originally developed for porphyry mineralisation, particularly its machine-learning and prospectivity-mapping methodology. In this study, the framework has been adapted for sediment-hosted mineral systems (Farahbakhsh et al., 2023, 2025) (Notebooks 03, 04, and 05).
DOI: https://doi.org/10.1029/2024TC008362
DOI: https://doi.org/10.1016/j.oregeorev.2023.105665
1- Run 01_CalculateSpatialRelationships.ipynb. Craton boundary lines should be segmented by their azimuth (every 30 degree change)
2- Assign plate ID to segmented craton boundaries in the GPlates software by looking at their movement based on the reconstruction model
3- Assign plate ID to craton deposits in the GPlates software, the same as above
4- Run Buffer_Paleo.ipynb; Reconstruct the craton boundaries and create a GeoJSON for each time step. Or reconstruct using gplates, export all time steps and then create a buffer in each time step. (Visually check in GPlates that everything is moving based on the anchor plate ID model.
5- Run Movie_Paleo.ipynb notebook to double-check deposits and craton boundaries dance along with other topologies.
6- Run reconstruction_coregistration.ipynb to create backarc_coords and unlabelled_coords csv files.
7- Run Feature_Extraction_Deposits_Paleo.ipynb for deposit_coords and Feature_Extraction_Target_Areas_Paleo.ipynb for unlabelled and backarc_coords. These will extract features for those files called *_data.
8- Run 03_feature_analysis.ipynb
9- Run 04_predictive_modelling.ipynb
10- Run first part of 05_prospectivity_map.ipynb to create Points within Continental Landmasses (coastline_coords.csv)
11- Run 02_Feature_Extraction_Target_Areas_Paleo.ipynb for coastline_coords.csv and create a coastline_data.csv
12- Run the whole 05_prospectivity_map.ipynb