This deposit is a supplementary file to “Machine Learning Applications in Archaeological Practices: A Review” from Mathias Bellat, Jordy Didier Orellana Figueroa, Jonathan Scott Reeves, Ruhollah Taghizadeh-Mehrjardi, Claudio Tennie and Thomas Scholten. It contains the original script for the automatic screening process with a linked data set and the markdown explanatory files. Supplementary files can be found on OSF.
The structure of this GitHub deposit is inspired by the rrtools
package From Ben Marwick et al.,
2017.
Our pre-print is online here:
Bellat and Orellana Figueroa et al., (2025). Machine Learning Applications in Archaeological Practices: A Review. arXiv, Accessed 13 août 2025. Online at https://doi.org/10.48550/arXiv.2501.03840
Please cite this compendium as:
Bellat and Orellana Figueroa, (2025). Supplementary Information for Machine Learning Applications in Archaeological Practices: A Review. Accessed 13 août 2025. Online at https://doi.org/10.17605/OSF.IO/RUPGY
The analysis directory contains:
- 📁 data: Data used in the scripts partialy accessible at https://doi.org/10.17605/OSF.IO/RUPGY.
- 📁 export: Derived data form the scripts either graphics, tables or RDdata files. The figures are protected by CC BY-SA 4.0 License.
- 📁 scripts: Scripts/Code used for the filtering and graphical productions.
- 📁 renv: R environment elements from
renvpackage.
This research compendium has been developed using the statistical programming language R. To work with the compendium, you will need installed on your computer the R software itself and optionally RStudio Desktop.
- Code :
- Figures :
We welcome contributions from everyone. Before you get started, please see our contributor guidelines. Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.