Heeb, JohannaHealy, DavidTimms, Nicholas E.Gomez-Rivas, Enrique2023-05-152023-05-152023-05Heeb, J, Healy, D, Timms, N E & Gomez-Rivas, E 2023, 'Grain boundary networks and shape preferred orientation – : A fresh angle on pattern quantification with GBPaQ', Computers and Geosciences, vol. 174, 105311. https://doi.org/10.1016/j.cageo.2023.1053110098-3004https://hdl.handle.net/2164/20728Funding Information: The author acknowledges support from an Aberdeen-Curtin Alliance International Postgraduate Scholarship and a Curtin Publication Grant. The author thanks Chris Elders for supervision throughout this project, the PhD thesis examiners Thomas Blenkinsop, Steve Reddy, Mark Jessell, and Ian Alsop for their contributions to this work, the two referees, who gave valuable input for this publication, and Isabel Zutterkirch for helpful discussions. David Healy acknowledges funding from the UKRI NERC grant NE/T007826/1 . Enrique Gomez-Rivas acknowledges the “Ramón y Cajal” fellowship RYC2018-026335-I , funded by the Spanish Ministry of Science and Innovation (MCIN) / State Research Agency of Spain (AEI) / European Regional Development Fund (ERDF) / 10.13039/501100011033 , the DGICYT research project PID2020-585 118999GB-I00 , funded by the Spanish Ministry of Science and Innovation (MCIN) / State Research Agency of Spain (AEI) / 10.13039/501100011033 , and the Grup Consolidat de Recerca “Geologia Sedimentària” ( 2021 SGR-Cat 00349 ), funded by the Catalan Council .. Publisher Copyright: © 2023 The Authors8739012engGBPaQ toolboxGrain boundary pattern symmetryIntercept-based quantificationShape preferred orientationStrain evolutionQE GeologyQ ScienceQA75 Electronic computers. Computer scienceInformation SystemsComputers in Earth SciencesSupplementary DataQEQQA75Journal article10.1016/j.cageo.2023.105311http://www.scopus.com/inward/record.url?scp=85149441508&partnerID=8YFLogxK174