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Consistent Visualization and Querying of GIS Databases by a Location-Aware Mobile Client

Consistent Visualization and Querying of GIS Databases by a Location-Aware Mobile Client. A Look at the 2003 Paper by Lodha, Faaland, Wong, Charaniya, Ramalingan and Keller. Luke Benedict SE521 March 4, 2009. Agenda. What are location-aware services?

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Consistent Visualization and Querying of GIS Databases by a Location-Aware Mobile Client

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  1. Consistent Visualization and Querying of GIS Databases by a Location-Aware Mobile Client A Look at the 2003 Paper by Lodha, Faaland, Wong, Charaniya, Ramalingan and Keller Luke Benedict SE521 March 4, 2009

  2. Agenda • What are location-aware services? • What is consistent visualization and what good is it? • What are geospatial databases and how are they used? • An example of consistent visualization

  3. Location-Aware Services • Information provided to mobile clients • Context-sensitive (GPS) • Can be peer-to-peer and/or from central location • Graphical and/or textual

  4. Consistent Visualization • All nodes on the network see the same thing • Comprised of geospatial data, aerial imagery, CAD drawings, schematics • Why? Because additional, dynamic, time critical information may not be available to the mobile user

  5. Geospatial Databases • Like a typical database, but has a spatial element • Latitude, longitude, elevation, etc. • Challenge: Different coordinate systems • State Plane Coordinate System (SPCS) • Universal Transverse Mercator (UTM) • Army GRID

  6. Querying Geospatially • Spatial elements can be stored in primitives such as: • Lines • Polygons • Can be queried in ways such as: • Give me all lines, polygons in a bounding box • Tell me the distance between polygon 1 and 2

  7. Consistent Visualzation • Differences in coordinate systems must be resolved • Clients query based on: • Location (easiest) • Coordinates (usually after-the-fact) • Query (raw, give-me all…)

  8. Example • Power outage!!! • Electric company gets a call that a neighborhood has a power outage.

  9. The First Query • The power company’s power grid is described in a geospatial database. • Based on the neighborhood that is out, an analysis is done of the network using an algorithm. • It is determined that the outage is on a 50 mile transmission line.

  10. Clients Attack!

  11. The Search Begins • ATVs with GPS-enabled tablet PCs begin to drive the roads beneath the power line. • A helicopter overhead flys the line. • A dispatcher at company HQ guides the team.

  12. Found It! • An ATV rider finds the broken line.

  13. Begin Consistent Visualization • The rider’s coordinates are sent back to company HQ. • The dispatcher sends the coordinates to the geospatial application which uses various data sources to derive a view of the situation • Images, company drawings, voltage info

  14. Example 250 feet high G4566 3000 volts Scranton Substation #2132 1000 volts

  15. Source Lodha, Faaland, Wong, Charaniya, Ramalingam and Keller (2003).Consistent Visualization and Querying of GIS Databases by a Location- Aware Mobile Agent. Proceedings of the Computer Graphics International (CGI’03), 248-253. Retrieved February 13, 2009 from IEEE Xplore.

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