Compositional Data Analysis
Provenance studies rely on the identification of probable sources, such that the variability between two sources is greater than the internal variability of a single source (the so-called, provenance postulate). This assumes that a unique signature can be identified for each source on the basis of several criteria.
This application is designed for chemical fingerprinting and source tracking of ancient materials. It provides provides tools for the exploration, visualization and analysis of compositional data in the framework of Aitchison (1986). If you are unfamiliar with the concepts and challenges of compositional data analysis, the following publications are a good place to start:
- Egozcue, J. J., Gozzi, C., Buccianti, A. & Pawlowsky-Glahn, V. (2024). Exploring Geochemical Data Using Compositional Techniques: A Practical Guide. Journal of Geochemical Exploration, 258: 107385. DOI: 10.1016/j.gexplo.2024.107385.
- Greenacre, M. & Wood, J. R. (2024). A Comprehensive Workflow for Compositional Data Analysis in Archaeometry, with Code in R. Archaeological and Anthropological Science, 16: 171. DOI: 10.1007/s12520-024-02070-w
- Grunsky, E., Greenacre, M. & Kjarsgaard, B. (2024). GeoCoDA: Recognizing and Validating Structural Processes in Geochemical Data. A Workflow on Compositional Data Analysis in Lithogeochemistry. Applied Computing and Geosciences, 22: 100149. DOI: 10.1016/j.acags.2023.100149.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY.
If you use this application in your research, you must report and cite it properly to ensure transparency of your results. Moreover, authors and maintainers of this project are more likely to continue their work if they see that it's being used and valued by the research community.
To cite in your publications, please use:
Frerebeau N (2024). “The tesselle Project: a Collection of R Packages for Research and Teaching in Archaeology.” Advances in Archaeological Practice. doi:10.1017/aap.2024.10 https://doi.org/10.1017/aap.2024.10.
Frerebeau N, Philippe A (2025). nexus: Sourcing Archaeological Materials by Chemical Composition. Université Bordeaux Montaigne, Pessac, France. doi:10.5281/zenodo.10225630 https://doi.org/10.5281/zenodo.10225630, R package version 0.4.0, https://packages.tesselle.org/nexus/.
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This is not intended for long-term storage. There is no guarantee as to how long your bookmark will last.
Bookmarking is currently disabled.