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ORCID19th SSTD 2025: Osaka, Japan
- Proceedings of the 19th International Symposium on Spatial and Temporal Data, SSTD 2025, Osaka, Japan, August 25-27, 2025. ACM 2025
Session 1 - Spatial and Spatio-temporal Data and Language Models
- Weijia Yi, Xieyang Wang, Mengyi Liu, Jianqiu Xu:
SNC: A Framework for Verification and Generation of Spatial NLQ Corpora. 1-11 - Panos Kalnis, Shuo Shang, Christian S. Jensen:
Comprehending Spatio-temporal Data via Cinematic Storytelling using Large Language Models. 12-16
Session 2 - Data Mining and Forecasting
- Annette Jing, Phillip A. Jang:
Multivariate Tests for Point and Probabilistic Forecasts, with an Application to Spatio-temporal Weather Forecast Evaluation. 17-28 - Konstantinos Christopoulos, Konstantinos Tsichlas:
Distributed Community Detection in Temporal Graphs. 29-33 - Shuai An, Shesha Sai Kumar Reddy Sadu, Arun Sharma, Majid Farhadloo, Shashi Shekhar:
Discovering Super-Colocation Patterns: A Summary of Results. 34-38
Tutorial 1
- Amr Magdy, Yongyi Liu:
Spatial Regionalization: Algorithms and Challenges. 39-43
Session 3 - Maritime Data
- Haomin Yu, Tianyi Li, Kristian Torp, Christian S. Jensen:
A Multi-Modal Knowledge-Enhanced Framework for Vessel Trajectory Prediction. 44-54 - Md Mahbub Alam, Amílcar Soares, José Fernando Rodrigues Jr., Gabriel Spadon:
Physics-Informed Neural Networks for Vessel Trajectory Prediction: Learning Time-Discretized Kinematic Dynamics via Finite Differences. 55-65 - Emanuele Carlini, Domenico Di Gangi, Vinicius Monteiro de Lira, Hanna Kavalionak, Amílcar Soares, Gabriel Spadon:
ImPORTance - Machine Learning-Driven Analysis of Global Port Significance and Network Dynamics for Improved Operational Efficiency. 66-75
Tutorial 2
- Zezhi Shao, Chengqing Yu, Fei Wang:
Heterogeneity in Multivariate Time Series: Comprehensive Analysis and Adaptive Modeling. 76-79
Session 4 - Road Networks
- Anbang Song, Ziqiang Yu, Wei Liu, Yating Xu, Mingjin Tao:
BRkNN-light: Batch Processing of Reverse k-Nearest Neighbor Queries for Moving Objects on Road Networks. 80-89 - Aaditya Mukherjee, Sean Chester, Mario A. Nascimento:
The Batch Insertion Operator for Shared Mobility Route Planning on Time-Dependent Road Networks. 90-100
Tutorial 3
- Chenxi Liu, Hao Miao, Cheng Long, Yan Zhao, Ziyue Li, Panos Kalnis:
LLMs Meet Cross-Modal Time Series Analytics: Overview and Directions. 101-106
Tutorial 4
- Zijian Zhang, Xiao Han, Xiangyu Zhao, Chenjuan Guo, Bin Yang:
Learning from Spatio-Temporal Data in the LLM Era: Foundations, Models, and Emerging Trends. 107-110
Ph.D. Forum
- Xieyang Wang, Jianqiu Xu:
Towards Advanced Natural Language Interfaces for Moving Objects Databases. 111-114 - Ziwen Chen, Ke Li, Yoshiharu Ishikawa:
CA-Gen: Trajectory Generation with Co-Movement Awareness. 115-118 - Gurban Aliyev:
Optimization of Exposure-Aware Routing for Vehicles and Pedestrians. 119-122 - Congzhi Ren, Hamada Rizk, Tatsuya Amano, Hirozumi Yamaguchi:
Lightweight Safety Assistance System for E-Scooters: Current Results and Future Directions. 123-126 - Haruki Yonekura, Hamada Rizk, Hirozumi Yamaguchi:
Device-Independent Wireless Sensing: Time-Series Analysis of Continuous Round Trip Time for Indoor Environment. 127-131 - Giulia Rovinelli:
A Spatiotemporal Framework for Underwater Noise Modelling. 132-136 - Kasparas Karlauskas, Povilas Treigys:
Entropy-based Pre-filtering of High-density Forest Point Clouds for Individual Tree Detection Algorithms. 137-140 - Ren Ozeki, Hamada Rizk, Hirozumi Yamaguchi:
No Labels, No Problem: Adaptive Disaster Prediction Using Physics-Hybrid AI. 141-144 - Xuqing Liu, Ahmed Farid, Tatsuya Amano, Hamada Rizk, Hirozumi Yamaguchi:
LLM-Powered Embodied Intelligence for Socially-Aware Robot Navigation in Human-Robot Interaction. 145-148
Session 5 - Mobility Analysis and Industry
- Andres Oswaldo Calderon Romero, Vassilis J. Tsotras, Petko Bakalov, Marcos R. Vieira:
Scalable Processing of Moving Flock Patterns. 149-158 - Chrysanthi Kosyfaki, Nikos Mamoulis, Reynold Cheng, Ben Kao:
Generalized Origin-Destination-Time Flow Patterns. 159-170 - Andrei Ouatu, Gabriel Ghinita, Razvan Rughinis:
Private Next Location Prediction using Transformers: Enhancing Accuracy under Differential Privacy Constraints. 171-180 - Daichi Amagata, Ryo Shirai, Ryo Imai:
Target and Non-target Category Classification from GPS and Check-in Data. 181-191
Tutorial 5
- Yuankai Wu, Xinyu Chen, Dingyi Zhuang:
Towards Foundation Model for Spatiotemporal Data Analysis. 192-196
Session 6 - Time Series and Interval Data
- Shuai Liu, Ying Qiao, Chang Leng, Hongan Wang:
ReefsDB: An Efficient Design and Implementation of Time-Series Store on SSDs. 197-206 - Kai Wang, Moin Hussain Moti, Dimitris Papadias:
TIDE: Indexing Time Intervals by Duration and Endpoint. 207-217 - Daichi Amagata, Jimin Lee:
Top-k Range Search on Weighted Interval Data. 218-228
Demo Track
- Weijia Yi, Xieyang Wang, Jianqiu Xu, Shuai Xu, Mahmoud Attia Sakr, Ouri Wolfson:
SpaCor: A Tool for High-Quality Spatial NLQ Corpus Construction. 229-233 - Han Nie, Mario A. Nascimento:
ShadeRoute: A Cloud-Based App for Shade-Optimized Routes. 234-237 - Anuj Arora, Apurva Kulkarni, Srinath Srinivasa:
GeoHealth Karnataka: A Geospatial Framework for Comprehensive Healthcare Accessibility Analysis. 238-242 - Zi Hao Li, Palkan Motwani, Mario A Nascimento:
Balancing Travel Time and Range Anxiety in Route Planning for Electric Vehicles. 243-246 - Reza Safarzadeh, Xin Wang, Bahareh Raei:
ChargeNav: End-to-End Fleet Optimization and Energy Aware Navigation for Electric Trucks. 247-251
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