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Overview. Shashi Shekhar Professor, Computer Science Department Shekhar@cs.umn.edu www.cs.umn.edu/~shekhar Teaching: Csci 8705: Topics in Scientific Databases Csci 8701: Database Research Csci 5708: Database II (spring 2003) Csci 4707: Database I (Fall 2002) Service (2002-3):
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Overview • Shashi Shekhar • Professor, Computer Science Department • Shekhar@cs.umn.edu • www.cs.umn.edu/~shekhar • Teaching: • Csci 8705: Topics in Scientific Databases • Csci 8701: Database Research • Csci 5708: Database II (spring 2003) • Csci 4707: Database I (Fall 2002) • Service (2002-3): • Colloquium • Computing Committee, Departmental Web-site Redesign • Research Area: • Spatial Databases, Spatial Data Mining
Motivating Example “Black Hawk Down” • Mogadishu, Somalia, 10/3/1993 • Soldiers trapped by roadblocks • No alternate evacuation routes • Rescue team got lost in alleys having no planned route to crash site • 18 Army Rangers and elite Delta Force soldierskilled, 73 wounded. ( Mark Bowden, Black Hawk Down: A Story of Modern War )
Motivating Example • Homeland Defense • Responding to a chem-bio attack • GIS and SDBMS needed at every step! • Gathering initial conditions • Facility location • Weather data from NWS • Terrain maps (State of federal Govt.) • Building geometry (City Govt.) • Plume simulation using supercomputers • Visualizing results – map, 3D graphics • Response planning • New research needs • Q? What happens after plume simulation, visualization? Facility and Base maps Weather map, Plume Modeling Demographics, Transportation ( Images from www.fortune.com)
Homeland Defense: Chem-Bio Portfolio "We packed up Morgan City residents to evacuate in the a.m. on the day that Andrew hit coastal Louisiana, but in early afternoon the majority came back home. The traffic was so bad that they couldn't get through Lafayette." - Morgan City, Louisiana Mayor Tim Mott ( http://i49south.com/hurricane.htm ) ( National Weather Services) Hurrican Andrew, 1992 • Traffic congestions on all highways • Great confusions and chaos ( www.washingtonpost.com)
Nest locations Distance to open water Vegetation durability Water depth Spatial Database Research at U of M • Spatial Data poses new challenge for Computer Science • Parallel formulations for terrain visualization • Efficient storage methods, e.g. CCAM • Scalable routing algorithms for very large maps • Spatial Data Mining
A. Spatial Data Mining • Co-locations • Spatial Outliers