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This workshop will introduce participants This workshop will introduce participants to the Python Computational Geomorphology Software System (PyCoGSS) project that aims to broaden access to computational tools for working with landscape data. Participants will first tour Python activities geared toward undergraduate geoscience students, followed by intermediate “onboarding” activities intended to train research students to collect their own data. Next, participants will get hands-on experience in using PyCoGSS software, including tools developed by undergraduates, to collect their own multispectral and topographic datasets, and perform intermediate analyses. Participants will also get a chance to explore advanced programming techniques to manipulate and visualize geospatial data, and perform specialized statistical analyses and numerical across bigger spatial and temporal scales. PyCoGSS developers will also be seeking feedback from participants on how software resources can better serve research and teaching needs of geomorphologists of all career levels and institution types. Participants will leave the workshop equipped to use, and advise their students on using, software tools and data analysis for geoscience research.and data analysis for geoscience research.  +
United States  +
joanmarie@wm.edu  +
CSDMS 2026: Modeling Landscapes in Motion  +
William and Mary  +
William and Mary  +
Del Vecchio  +
Virginia  +
PyCoGSS: Helping you (and your students!) wrangle big landscape data  +
United States  +
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15:40:50, 6 January 2026  +
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15:40:50, 6 January 2026  +
Terrestrial Working Group  +, Coastal Working Group  +, Marine Working Group  +, Education and Knowledge Transfer (EKT) Working Group  +, Cyberinformatics and Numerics Working Group  +, Hydrology Focus Research Group  +, Chesapeake Focus Research Group  +, Critical Zone Focus Research Group  +, Human Dimensions Focus Research Group  +, Geodynamics Focus Research Group  +, Ecosystem Dynamics Focus Research Group  +, Coastal Vulnerability Initiative  +, Continental Margin Initiative  +, Artificial Intelligence & Machine Learning Initiative  +, Modeling Platform Interoperability Initiative  +  and River Network Modeling Initiative  +