CCF: c CORE: a QUALIS: b1 Viewed: 48310 Tracked: 37 Attend: 8
Call For Papers
SSTD 2025 (International Symposium on Spatial and Temporal Databases) is a CCF C / CORE A / QUALIS B1 conference held in Osaka, Japan on 2025-08-25. The paper submission deadline is 2025-04-27. Acceptance notifications are sent on 2025-07-01.
Scope
The 19th International Symposium on Spatial and Temporal Data (SSTD) expands its scope beyond traditional databases to embrace the broader and rapidly evolving landscape of spatial and temporal data. While previous editions focused on foundational database systems and techniques, this year’s symposium welcomes research that addresses the full spectrum of challenges and innovations in managing, analyzing, and leveraging spatial and temporal data. We invite contributions spanning data management, analytics, mining, machine learning, visualization, and real-world applications across diverse domains, reflecting the growing significance of spatial and temporal data in today’s data-driven world. This expanded scope aims to foster interdisciplinary discussions and accommodate emerging trends where spatial and temporal data intersect with cutting-edge technologies.
Topics of Interest
Topics of interest include, but are not limited to, the following in the context of spatial, temporal, and spatio-temporal data.
Spatial Foundations
Spatial and temporal data models, representations, and standards
Computational geometry algorithms
Theoretical frameworks and complexity analysis
Spatial approximation, sampling, and compression strategies
Topological, geometric, and semantic relationships
Spatial Data Mining, Machine Learning, and Analytics
Foundation models and LLMs for spatial data
Data warehousing and decision support
Pattern recognition, clustering, and outlier detection
Predictive modeling and forecasting
Integration of deep learning and Geo-AI techniques
Recommender systems
Spatial Statistical Analysis
Spatial autocorrelation and regression models
Spatial point process analysis
Geostatistical methods
Bayesian models
Analysis of spatial heterogeneity
Spatio-temporal statistical methods
Data Management and Storage
Data types and query languages
Database design and conceptual modeling
Storage and retrieval techniques
Access methods and indexing
Query processing and optimization
Distributed and cloud-based architectures
Stream processing and real-time indexing
Moving objects applications
Methods for data integration and harmonization
Spatial Networks and Graphs
Transportation and mobility analytics
Network modeling and route optimization
Graph-based techniques
Sensor networks
Geographic Information Retrieval (GIR)
Spatially-aware search engines
Geotagging and geographic text analysis
Location-based information retrieval
Integration of spatial and textual data
Ontologies and taxonomies
Semantic analysis of geographic entities
Spatial-keyword search
Visualization and Interaction
Novel visualization techniques
Human-computer interaction
AR/VR environments and immersive visualizations
Quality, Uncertainty, Fairness and Privacy
Data quality assessment and cleaning
Handling uncertainty and incomplete data
Privacy-preserving methods
Data bias, fairness, transparency
Applications and Emerging Domains
Location-based services and social networks
Experiments and performance evaluation
Smart cities and urban planning
Public health and emergency management
IoT-based sensor networks
Computer vision for spatial data
Crowdsourcing and user-generated content
Indoor spaces and mobility
Spatial quantum modeling
New hardware platforms