Full Title: Quantitative Analysis, Visualization, and Modelling of Detrital Geochronology Data
Endorsed by: GSA's Geochronology, Geoinformatics and Data Science, Mineralogy, Geochemistry, Petrology, and Volcanology Divisions
Led by: Joel Saylor, Kurt E. Sundell, Glenn Sharman
Date: Sat. 18 Oct. 2025
Time: 8 a.m.-5 p.m.
Format: In-Person
CEUs: 0.8
Alongside the growth in detrital geochronology datasets is a developing body of best practices, techniques, and tools for analyzing these data. This course will introduce participants to the technical background necessary to understand and apply recently developed sample comparison and data analysis techniques, including quantitative intersample comparison, data visualization, and mixture modelling. Following a theoretical and hands-on introduction, we will apply existing tools for the expedited analysis of large datasets. This introduction will familiarize users with working in Python and Matlab, but no coding experience is necessary to participate. Participants are encouraged to bring their own datasets, if available.
By purchasing this item, you are buying a seat for an in-person course.
Short courses offer continuing education units (CEUs). One CEU equals 10 hours of participation in an organized continuing education experience under responsible sponsorship, capable direction, and qualified instruction.
Learn more about this and other GSA Connects 2025 events.
For additional information, please contact Rebecca Taormina, rtaormina@geosociety.org, GSA Field Trip and Short Program Coordinator.
Product Code: SC25CN522
Product Category: SHORTC