Full Title: Quantitative Analysis, Visualization, and Modelling of Detrital Geochronology Data
Price: US$90 for non-members; US$75 for professional members; US$45 for student members; US$60 for early career professional members.
Led by: Joel Saylor; Kurt Sundell; Glenn Sharman; Ryan Nielsen; Chance Ronemus
Endorser(s): GSA Sedimentary Geology Division; GSA Structural Geology and Tectonics Division; GSA Geochronology Division; GSA Geoinformatics and Data Science Division; SEPM (Society for Sedimentary Geology)
Industry Track(s): Economic Geology
Date: Sat., 10 Oct. 2026
Location: GSA Connects 2026, Denver, Colorado, USA
Time: 8 a.m.–5 p.m.
Format: In-Person
CEUs: 0.80
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, participants 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.
For member-type discounts, please contact shortcourse@geosociety.org.
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 2026 events.
For additional information, please contact shortcourse@geosociety.org.
Product Code: SC26CN08
Product Category: SHORTC
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