Conference Information
SIGSPATIAL 2026: International Conference on Advances in Geographic Information Systems
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Submission Date:
2026-05-22
Notification Date:
2026-08-05
Conference Date:
2026-11-03
Location:
Riverside, California, USA
Years:
34
CCF: c   CORE: a   Viewed: 32767   Tracked: 19   Attend: 2

Call For Papers
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
Last updated by Dou Sun in 2026-03-25
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