AAG 2025 Symposium on Spatial AI & Data Science for Sustainability: GeoAI and Large Language Models: Tools, Techniques, and Sustainable Applications
Date: 3/25/2025
Time: 8:30 AM - 9:50 AM
Room: 356, Level 3, Huntington Place
Type: Paper
Recorded:
Theme:
Curated Track:
Sponsor Group(s):
Cyberinfrastructure Specialty Group, Geographic Information Science and Systems Specialty Group, Spatial Analysis and Modeling Specialty Group
Organizer(s):
Wei Hu University of Illinois - Department of Geography and GIS
Chair(s):
Wei Hu, University of Illinois - Department of Geography and GIS
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Description:
As the world faces unprecedented sustainability challenges, the integration of Geographic Information Science (GIS), Geospatial Artificial Intelligence (GeoAI), and Large Language Models (LLMs) offers new and powerful tools to address complex issues in diverse fields. This session explores how advancements in LLMs are transforming spatial data science by enhancing capabilities for data analysis, knowledge discovery, and decision support. From environmental monitoring to urban resilience, LLMs can streamline workflows, unlock hidden insights, and provide real-time analysis across geospatial contexts.
The growing role of GeoAI and LLMs in GIS brings both opportunities and challenges. While these technologies enable more dynamic, accessible, and scalable applications in public health, disaster response, urban planning, and environmental management, they also present concerns about data privacy, ethical usage, and algorithmic bias. This session aims to explore both the innovative applications and critical reflections on LLM-driven GeoAI.
Presenters are encouraged to share empirical studies, applied methods, and theoretical perspectives that showcase the potential of LLMs in geospatial applications and address the ethical implications of using AI in spatial analysis. The discussions in this session will highlight interdisciplinary collaborations and advancements that leverage GeoAI and LLMs to drive sustainable solutions, offering new insights into the evolving landscape of spatial AI.
Presentations (if applicable) and Session Agenda:
Yuanyuan Tian, Arizona State University - School of Geographical Sciences & Urban Planning |
Large Language Models for Spatiotemporal Event Recommendation |
Mingzheng Yang, Texas A&M |
Extreme Heatwave Unevenly Disrupted Circadian Rhythm in the United States Using Multi-Sourced Geospatial Big Data |
Dingqi Ye, University of Illinois Urbana-Champaign - Department of Geography and Geographic Information Science |
Enhancing Geographic Inquiry through Cooperative Integration of Large Language Models and Domain-Specific Knowledge Bases |
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AAG 2025 Symposium on Spatial AI & Data Science for Sustainability: GeoAI and Large Language Models: Tools, Techniques, and Sustainable Applications
Description
Type: Paper
Date: 3/25/2025
Time: 8:30 AM - 9:50 AM
Room: 356, Level 3, Huntington Place
Contact the Primary Organizer
Wei Hu University of Illinois - Department of Geography and GIS
weih9@illinois.edu
Session sponsored by: