SIGSPATIAL 2026: International Conference on Advances in Geographic Information Systems
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Día de Entrega:
2026-05-22
Fecha de Notificación:
2026-08-05
Fecha de Conferencia:
2026-11-03
Ubicación:
Riverside, California, USA
Años:
34
CCF: c CORE: a Vistas: 34300 Seguidores: 19 Asistentes: 2
Solicitud de Artículos
SIGSPATIAL 2026 (International Conference on Advances in Geographic Information Systems) is a CCF C / CORE A conference held in Riverside, California, USA on 2026-11-03. The paper submission deadline is 2026-05-22. Acceptance notifications are sent on 2026-08-05.
Topics of Interest
Spatial AI
Generative AI for spatial reasoning and simulation
Spatial and spatio-temporal foundation models
Causal reasoning in space and time
Spatial machine learning and explainability
Privacy and ethics in spatial computing
Spatial and spatio-temporal reasoning in robotics
Agentic GeoAI
Trustworthy and responsible GeoAI
Spatial and spatio-temporal Retrieval Augmented Generation (RAG) Techniques
Spatial representation learning, encoding, and grounding methods for multi-modal data
Evaluation benchmarks for foundation models
Safety, hallucination control, and uncertainty quantification in spatially grounded foundation models
Spatial Computing Systems and Big Spatial Data Infrastructure
Spatial and spatio-temporal analysis
Query processing and optimization
Spatial data mining, pattern analysis and knowledge discovery
Spatio-temporal data management
Spatial decision support
Spatial data quality and uncertainty
Geo-entity linkage, geo-enrichment
Distributed and parallel algorithms
Geospatial architectures and middleware
GPU and novel hardware solutions
Cloud and edge spatial data platforms
Spatial vector databases
Spatial graph data management and analysis
Unified relational/graph/vector architectures for spatial retrieval-augmented generation
Pervasive Spatial Computing and Internet of Spatial Things
Localization and tracking indoors/outdoors
Contact tracing
Location-based services
Spatio-temporal sensor networks
Traffic telematics
Mobile systems and vehicular ad hoc networks
Edge spatial computing systems and on-device intelligence
Virtual/Augmented/Mixed reality for spatial computing
Spatial computing in autonomous vehicles
Cyber-physical systems and their applications in spatial computing
Spatial Data Acquisition, Integration, and Processing
Standardization and semantic interoperability
Earth observation and satellite data processing
Computational geometry and computer graphics
Spatial scene understanding and spatial awareness in images and videos
Spatial, geo-social and trajectory simulation
Spatio-temporal stream processing
Governance and cross-organization spatial data sharing
Spatial knowledge graphs
Multi-modal spatial computing and data fusion
Space and planetary mapping
Spatial Search
Geographic information retrieval
Human-computer interaction and visualization for spatial systems
Similarity searching
Spatial data structures and algorithms
Spatial modeling and reasoning
Spatio-textual searching
Natural language interfaces and conversational search over spatial data
Spatial Intelligence for Society
Intelligent transportation and sustainable mobility
Epidemiology and health
Cyber and physical security
Smart cities and spaces
Urban data and planning
Geospatial computer vision applications
Location business intelligence
Personalized geospatial recommendation systems
Environmental, climate, and natural systems
Agricultural, food, and water systems
Defense, intelligence, and public safety
Utilities and urban infrastructure
Geo health and epidemiology
Industrial applications
Quantum Spatial Computing and Technologies
Quantum computing for spatial data and applications
Hybrid quantum-classical pipelines for spatial computing applications
Quantum simulations for spatial systems and phenomena
Quantum machine learning for spatial applications
Quantum-inspired spatial indexing and search
Quantum spatial databases
Quantum sensing for spatial data and applications
GPS-free quantum navigation technologies
Benchmarks and empirical studies for quantum technologies on spatial workloads
Digital Twins in Spatial Computing Systems
Urban, regional, and planetary digital twins
Earth systems digital twins for climate, hazards, hydrology, and Earth ecosystem dynamics
Facility digital twins for buildings, campuses, utilities, and industrial assets
Mobility digital twins for flows of people, vehicles, goods, and services
Human-centric and socio-economic digital twins for human services, social systems, health systems, transportation systems, and livability.
Digital twin platforms