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Orange-Volcanoes : a new open and collaborative platform to perform data-driven investigations and machine learning analyses in petrology and volcanology
ID Musu, Alessandro (Author), ID Parodi, Valerio (Author), ID Toplak, Marko (Author), ID Carfì, Alessandro (Author), ID Ágreda-López, Mónica (Author), ID Mastrogiovanni, Fulvio (Author), ID ZhangZhou, J. (Author), ID Perugini, Diego (Author), ID Belmonte, Donato (Author), ID Wieser, Penny E. (Author), ID Zupan, Blaž (Author), ID Petrelli, Maurizio (Author)

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Abstract
Orange-Volcanoes is an extension of the open-source Orange data mining platform specifically tailored for geochemical, petrological, and volcanological investigations. Orange-Volcanoes enhances the original platform by incorporating specialized tools to enable interactive data-driven investigations in geochemistry, such as performing Compositional Data Analysis (CoDA). Applying CoDA transformations enables the use of many standard and multivariate statistical methods like principal component analysis, discriminant analysis, and hierarchical clustering on compositional data. In this way, Orange-Volcanoes allows for the application of a wide range of data mining and statistical methods implemented in Orange using geochemical data. Moreover, Orange allows the use of advanced methods in the field of explainable artificial intelligence, such as feature importance and Shapley additive explanations. Also, within Orange-Volcanoes, we demonstrate the flexibility of the Orange platform by developing visual tools that allow for conducting mineral-liquid equilibrium tests and calculating thermo-barometric estimates. The Orange-Volcanoes supports collaborative efforts and reproducibility by offering a visual programming interface that requires no coding experience, making it accessible to a wide range of users, including scientists, educators, and students. We provide a series of case studies, including interactive petrological data exploration and clustering in tephra studies to highlight Orange-Volcanoes’ potential and versatility in volcanological applications. Orange-Volcanoes can be downloaded using pip, and its documentation is available at https://orange3-volcanoes.readthedocs.io/en/latest/.

Language:English
Keywords:Orange data mining, data-driven investigations, igneous petrology, volcanology, compositional data analysis, CoDA, machine learning
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FRI - Faculty of Computer and Information Science
Publication status:Published
Publication version:Version of Record
Year:2025
Number of pages:Str. 1-12
Numbering:Vol. 27, Art. 100270
PID:20.500.12556/RUL-175519 This link opens in a new window
UDC:004.8:551.21:552
ISSN on article:2590-1974
DOI:10.1016/j.acags.2025.100270 This link opens in a new window
COBISS.SI-ID:245500931 This link opens in a new window
Publication date in RUL:30.10.2025
Views:547
Downloads:248
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Record is a part of a journal

Title:Applied computing and geosciences
Publisher:Elsevier
ISSN:2590-1974
COBISS.SI-ID:18912771 This link opens in a new window

Licences

License:CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
Link:http://creativecommons.org/licenses/by-nc/4.0/
Description:A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.

Secondary language

Language:Slovenian
Keywords:podatkovno rudarjenje Orange, podatkovno podprto raziskovanje, petrologija magmatskih kamnin, vulkanologija, analiza kompozicijskih podatkov, strojno učenje

Projects

Funder:MUR - Italian Ministero dell’Università e della Ricerca
Funding programme:PRIN 2020
Project number:202037YPCZ 001
Name:Dynamics and timescales of volcanic plumbing systems: a multidisciplinary approach to a multifaceted problem

Funder:SNSF - Swiss National Science Foundation
Funding programme:Postdoc Mobility grant
Project number:P500PN 222259

Funder:MUR - Italian Ministero dell’Università e della Ricerca
Project number:2022MS9KWR
Name:Indagini Petrologiche e Geochimiche Appli- cate allo Studio dei Tefra Recenti (< 40 ka) in area Mediterranea’

Funder:NSF - National Science Foundation
Funding programme:Directorate for Geosciences
Project number:2342156
Name:Collaborative Research: Bubble Trouble - Re-evaluating olivine melt inclusion barometry and trace-element geochemistry in the Cascades

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