This repository contains the notebook and supplementary files required to reproduce the results presented in the paper titled Machine learning-based spatiotemporal prospectivity modeling of porphyry systems in the New Guinea and Solomon Islands region by Farahbakhsh et al (2025). The notebook enables users to create a spatio-temporal prospectivity model for Porphyry Mineralisation in the New Guinea and Solomon Islands region.
The input files include plate motion models and oceanic grids provided by Müller et al. (2016) and Müller et al. (2019).
The final output is a set of GeoTIFF files that shows the probability of the targeted mineralisation in back-arc basins or a specific area at desired time steps.
- pygplates
- gplately
- cartopy
- geopandas
- matplotlib
- netCDF4
- numpy
- pandas
- pulearn
- scipy
- shapely
- skimage
- sklearn
- skopt
Müller, R.D., Seton, M., Zahirovic, S., Williams, S.E., Matthews, K.J., Wright, N.M., Shephard, G.E., Maloney, K.T., Barnett-Moore, N., Hosseinpour, M. and Bower, D.J., 2016. Ocean basin evolution and global-scale plate reorganization events since Pangea breakup. Annual Review of Earth and Planetary Sciences, 44(1), pp.107-138.
Müller, R.D., Zahirovic, S., Williams, S.E., Cannon, J., Seton, M., Bower, D.J., Tetley, M.G., Heine, C., Le Breton, E., Liu, S. and Russell, S.H., 2019. A global plate model including lithospheric deformation along major rifts and orogens since the Triassic. Tectonics, 38(6), pp.1884-1907.
@article{Farahbakhsh2025,
title = {Machine learning-based spatiotemporal prospectivity modeling of porphyry systems in the New Guinea and Solomon Islands region},
author = {Farahbakhsh, Ehsan and Zahirovic, Sabin and McInnes, Brent I. A. and Polanco, Sara and Kohlmann, Fabian and Seton, Maria and M{\"u}ller, R. Dietmar},
year = {2025},
journal = {Tectonics},
volume = {44},
number = {3},
pages = {?},
doi = {10.1029/2024TC008362},
}