Topic: Ecoinformatics and the Ecology of Global Change

Speaker: Chair Professor LI Bo，Washington University in St. Louis

Time: 10:00 - 12:00am June 10, 2026

Venue: Room A1101, IGSNRR

Host: Prof. GE Yong

Brief to the report

Environmental data often arise over complex spatial and spatiotemporal domains, where dependence across space and time plays a central role in statistical analysis. Effectively modeling such dependence is essential for accurate inference, prediction, and uncertainty quantification.

In this talk, He will present several examples involving spatial prediction, comparison of spatial and spatiotemporal datasets, and data fusion. Together, these examples illustrate how modern spatial statistical methods can leverage dependence structures to improve inference, enhance predictive performance, and provide deeper scientific insight in environmental applications.

Welcome to the Forum!

State Key Laboratory of Geographic Information Science and Technology