2023 Fall CPGIS Education Webinar Series
Theme: GeoAI-Driven Spatiotemporal Process Understanding and Forecasting
主题： GeoAI驱动的时空过程理解与预测)
RSVP: https://www.eventbrite.com/e/2023-fall-cpgis-education-webinar-series-all-events-pass-tickets-718334256097
Schedule
Thursday, 9/21/2023, 9:00-10:00 PM (US Eastern Time)
Friday, 9/22/2023, 9:00-10:00 AM (Beijing Time)
Bayesian spatiotemporal statistical modeling: with applications in zero-inflated and censored data analysis at small-area levels
Hui Luan, University of Oregon
Thursday, 9/28/2023, 9:00-10:00 PM (US Eastern Time)
Friday. 9/29/2023
9:00-10:00 AM (Beijing Time)
Spatiotemporal methodologies for the analysis and prediction of extreme weather-related events
Manzhu Yu. Penn State University
Thursday, 10/12/2023, 9:00-10:00 PM (US Eastern Time)
Friday, 10/13/2023
9:00-10:00 AM (Beijing Time)
Towards Smart Urban Mobility by Coupling Spatiotemporal Trajectory Analytic and Deep Graph Learning
Wei Tu, Shenzhen University
Thursday, 10/19/2023, 9:00-10:00 PM (US Eastern Time)
Friday, 10/20/2023
9:00-10:00 AM (Beijing Time)
Understanding and projecting wildfires using deep learning
Fa Li. University of Wisconsin-Madison
Thursday, 10/26/2023, 9:00-10:00 PM (US Eastern Time)
Friday. 10/27/2023
9:00-10:00 AM (Beijing Time)
Knowledge-driven GeoAI Models for Human Trajectory Generation
Kang Liu, Chinese Academy of Science
