Program

GeoAI Workshop at SIGSPATIAL 2025, Minneapolis, MN. Nov. 3rd, 2025

Time
8:308:40Opening Remarks
8:409:10Keynote: GeoAI Innovations: Building Curriculum, Codes, and Chips by Professor Eric Shook, Associate Professor in the Department of Geography, Environment, and Society at the University of Minnesota in the Twin Cities
Session 1
Paper IDAuthorsTitle
9:109:2024Sumit Sen, Lokendra Chauhan, Liping Di and Vipin KumarSolving the scale problem in multimodal learning in AgriAI
9:209:3014Zhongfu Ma and Di ZhuA Neural Fitting Method for Potential Differential Equations in Urban Dynamics
9:309:406Srivishnu Pyda, Nicole Schneider and Hanan SametEmbeddings Matter: A Case Study of Spatial Synonyms in Large Language Models
9:409:5021Zhuocheng Shang, Adreyan Distor and Ahmed EldawyAgriParcel: Geometry Farmlands Generation Framework for Comprehensive Agricultural Analysis
9:5010:0026Rui Deng, Ziqi Li and Mingshu WangImproving the Computational Efficiency and Explainability of GeoAggregator
10:0010:40Coffee Break
Session 2
10:3010:4034Samantha Arundel, Wenwen Li, Kevin McKeehan, Bryan Campbell, Jung-Kuan Liu, Lawrence V. Stanislawski, Ethan J Sharvers, Greg Matthews, Philip Thiem, Dalia Varanka and Lynn UseryIntelligent National Map: A Vision for Agentic Geospatial Knowledge Dispersion
10:4010:5018Renato Assuncao, Kevin Butler, Alberto Nieto, Lauren Bennett, Catherine David, Hu Shao, Martha Bass, Eric Krause and Lorenzo MagalhaesDistribution-Free and Method-Agnostic Selection of Optimal Aggregation Scales
10:5011:0019Xiayin Lou and Peng LuoTowards the Uncertainty-aware Geospatial Artificial Intelligence
11:0011:1030Grace Kagho and Janody PougalaPredicting behavioral patterns in data-scarce regions using spatial embeddings
11:1011:2012Jiyoon Lee and Youngok KangPeak-GraphTFT: A GCN-Augmented Temporal Fusion Transformer with Peak-Sensitive Learning for Predicting Pedestrian Congestion in Shadow Areas
11:2011:3015Keisuke Otaki, Xinni Yang, Takayoshi Yoshimura, Hiroyuki Sakai, Da Li and Yukiko KawaiSubjective Experiences in Urban Spaces from the Lens of Crowds, Personality, and Large Language Models
11:3011:4516Heather Baier and Daniel RunfolaMeasuring Feature Representation Stability in Coordinate-Conditioned Neural Networks
11:4512:0017Kai Moltzen and Ricardo UsbeckGANDR - Georelating Dataset, Metrics, and Evaluation
12:0012:1529Huan Chen, Ting Han, Siyu Chen, Zhihao Guo, Yiping Chen and Meiliu WuSemantic4Safety: Causal Insights from Zero-shot Street View Imagery Segmentation for Urban Road Safety
12:1512:3032Chen Wei, Yiwei Zhang, Xi Guan, Qianheng Zhang, Yanbing Chen, Yuhan Ji, Yibo Zhao, Maoping Wang, Ying Nie, Hanchen Zhuang and Song GaoGeoAI for Driving Risk Assessment via Vision-Language Models: A Knowledge Guided RAG System and Dual Evaluation
12:302:00Lunch Break
Session 3
2:002:1511Luyao Niu, Zhicheng Deng, Boyang Li, Nuoxian Huang, Ruiqi Liu and Wenjia ZhangAskNearby: An LLM-Based Application for Neighborhood Information Retrieval and Personalized Cognitive-Map Recommendations
2:152:3027Vu Duc Anh Nguyen and Ziyue LiDeep Learning to Identify the Spatio-Temporal Cascading Effects of Train Delays in a High-Density Network
2:302:4525David Kasperek and Michal PodporaEvaluating Apple CreateML's Performance and Classification Challenges for Aerial and Satellite Imagery
2:453:003Xintong Chen and John KrummPoly2Vec 3D: Encoding 3D Spatial Structures for Deep Learning
3:003:1513Meicheng Xiong and Di ZhuA Graph-based Deep Population Downscaling Model on Irregular Spatial Units
3:153:3010Keita Mizushina, Tsunehiko Baba, Mika Takata and Ken NaonoDiscovering Deep-Tier Suppliers: LLM-Driven Manufacturing Site Inference for Enhanced Visibility
3:304:00Coffee Break
Session 4
4:004:1520Eirinaios Odysseas Gardelakos, Vasileios Kyriakopoulos, Despina-Athanasia Pantazi, Orestis-Minas Kapopoulos, Maria Tsourma and Manolis KoubarakisCan Large Reasoning Models Reason about Spatial Relations?
4:154:3035Abdullah Al-Mamun, Ch. Md. Rakin Haider and Walid ArefQuery Processing Tradeoffs over an ML-Enhanced R-tree
4:304:4522An-Syu Li and Yi-Chung ChenA Deep Learning-Based Heatmap Travel Recommendation System
4:455:0028Valeria Martin, K. Brent Venable and Derek MorganA Sentinel-2 Benchmark and Deep-Learning Study for Wildfire Damage Mapping
5:005:1536Chuan Li and Ruoxuan YangAutomated Ensemble Learning for Proactive Groundwater Management: Early Warning and Allocation
5:155:30Closing Remarks