Under the auspices of the CNRS MAGIS research group, the SAGEO conference is a major annual event in the field of spatial data science. It aims to present the latest advances in geomatics, modeling, and spatial analysis. It also provides a forum for scientists from a variety of backgrounds (geography, computer science, geomatics, archaeology, agronomy, environmental sciences, earth sciences, etc.) to come together.
Topics covered (non-exhaustive list):
- Spatial data acquisition: topography, satellite positioning and navigation, geosensors, drones, etc.
- Sensors and the Internet of Geographic Things
- Volunteered Geographical Information, collaborative geography, mediation
- Conceptual modeling of spatial, temporal, and 3D data
- Spatial data structures and geometric algorithms, graphs, spatial relationship modeling
- Modeling and simulation of complex systems, multi-agent systems, model coupling, geoprospective
- Integration, multi-scale fusion, multi-modal fusion, generalization, multiple-level models
- Artificial Intelligence (machine learning, deep learning, GeoAI, generative AI), geostatistics, statistical models applied to geographic data
- High-performance computing in geomatics, distributed and parallel algorithms for geographic information
- Uncertainty modeling, error propagation, sensitivity analysis of spatial and temporal data
- Semantic web and spatio-temporal ontologies
- Massive spatial data, data flows, social networks, trajectories of mobile objects
- Spatial databases and data warehouses, geographic data lakes, SOLAP
- Geographic information extraction, retrieval, and processing
- Spatial and temporal reasoning
- Indexing, processing, and optimization of spatial and temporal queries
- Spatial data infrastructures, interoperability, metadata
- Geo-visualization and dynamic mapping, visual languages, web mapping
- Spatial cognition: perception and appropriation of space
- 3D GIS, digital twins, virtual reality, augmented reality, BIM
- Spatialized digital humanities, geo-historical knowledge graphs
- Remote sensing, photogrammetry and image processing, LiDAR, Earth observation
- Image and video analysis, geographic information flow processing
- Image segmentation, contour extraction, mathematical morphology
- Spatial reference systems: geodesy, gravimetry, map projections, etc.
- Territorial observatories and platforms, geographic information scientists
- Critical approaches to Geographic Information Sciences
- Spatial analysis, multi-criteria analysis, surface modeling, decision support
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Areas of application (non-exhaustive list):
- Urban planning, land use planning and governance, planning
- Landscape ecology, environment, natural resource management, agronomy
- Energy, transportation, construction
- Climate, global change, urban heat islands
- Seas and oceans, coastal zone and shoreline management, hydrology
- Society and uses of geographic information, archaeology, history
- Risk prevention and vulnerabilities
- Health, epidemiology
- Teaching geomatics and spatial analysis
- etc.
