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Compositional Data Analysis (CoDA) is a powerful tool in Earth Sciences, particularly in geochemistry and geology. It addresses the inherent statistical problems posed by compositional data – data representing parts of a whole, subject to a constant sum constraint. CoDA uses techniques like log-ratio transformations to analyze compositional data while avoiding issues such as spurious correlations and non-normality. CoDA has numerous applications in Earth Sciences, including groundwater characterization, forensic soil provenancing, analysis of lake sediments, petrology, mineral exploration, and sedimentary rock analysis. The integration of CoDA with other analytical techniques, such as X-ray fluorescence spectrometry and gamma-ray spectrometry, offers a powerful approach to unraveling complex geological and geochemical processes. Despite its successes, several challenges remain in applying CoDA to Earth science data. These challenges include the need for specialized software and expertise, the complexity of interpreting results in the context of complex geological processes, and addressing uncertainties in compositional data. Further research and development of CoDA methods tailored to specific geological and geochemical problems are necessary to enhance its capabilities in Earth science research. The continued development and application of CoDA, along with its integration with other analytical techniques and geological knowledge, will undoubtedly further our understanding of the Earth's processes and resources. P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly Valls Geoconsultant ORCID ID- https://orcid.org/0000-0002-5421-0914 Scopus Author ID: 7003369619/35335510700 ResearcherID: S-6604-2018 If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets