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E. Lynn Usery

The USGS Center of Excellence for Geospatial Information Science – Spatio-temporal Data Model Research. E. Lynn Usery. usery@usgs.gov. http://cegis.usgs.gov. Outline. CEGIS Spatio-Temporal Research What is solved (maybe what worked)? What is almost solved (but not quite working)

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E. Lynn Usery

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  1. The USGS Center of Excellence for Geospatial Information Science – Spatio-temporal Data Model Research E. Lynn Usery usery@usgs.gov http://cegis.usgs.gov

  2. Outline • CEGIS Spatio-Temporal Research • What is solved (maybe what worked)? • What is almost solved (but not quite working) • What has failed? • What is missing? • What is next? • CEGIS future research in geospatial and geotemporal data models

  3. CEGIS Current Research

  4. Feature-based Spatio-Temporal Data Model • Developed Feature Library • Handles spatial and temporal data • Handles Vector and raster data • Feature-based • Works by loading from existing data, e.g., USGS NHD, ArcGIS Geodatabase, CSV files • Temporal data model for base category data • Work with Yanfen Le; published in CaGIS and ASPRS Manual of GIS

  5. Feature-based Spatio-Temporal Data Model – What didn’t work • Production implementation for The National Map for spatio-temporal model • Interface to existing GIS/image processing systems for feature extraction • Long-term research project • Just beginning to build from other models

  6. Missing? • Robust and effective spatio-temporal data model that works with databases and persistence • Temporal and event-based model for hazards, evacuation, and disaster recovery

  7. What is Next? CEGIS Long-Term Research

  8. The USGS Center of Excellence for Geospatial Information Science – Spatio-temporal Data Model Research E. Lynn Usery usery@usgs.gov http://cegis.usgs.gov

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