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spatial computing.ppt
- 2. WHAT IS SPATIAL COMPUTING Spatial computing encompasses the ideas, solutions, tools, technologies, and systems that transform our lives by creating a new understanding of locations— how we know, communicate, and visualize our relationship to locations and how we navigate through them.
- 3. TYPE OF TECHNOLOGY • GPS • Google Maps/Earth • Self Driving Cars • Augmented Reality • Weather/Storm/Environment Tracking
- 4. WHY I CHOSE SPATIAL COMPUTING • Interest • Augmented reality is an interesting area of study • Enjoy working in 3D related fields and environments
- 5. CONTEXT/THESIS • Summarize 2012 Computing Community Consortium workshop • Start a broader discussion on the role the larger computing community can play in this interdisciplinary area • Advocate support for the interdisciplinary field beyond the examples presented here
- 6. TRANSFORMATIVE ACCOMPLISHMENTS • GPS • Remote Sensing • Geographic information system • Spatial database management systems • Spatial statistics
- 7. RECENT CHANGE • Billions using location-based services and updating actual maps • Billions functioning as mapmakers, and many phenomena being observable • Multiple location-aware platforms • Rising expectations due to vast potential and risk
- 8. SHORT-TERM OPPORTUNITIES • Augmented reality systems • HoloLens • Google glass • Spatial predictive analytics • Geocollaborative systems, fleets, and crowds • Moving spatial computing indoors, underwater, and underground
- 9. CONCLUSION • Huge Future • More education about this topic • Great economic potential
- 10. CRITIQUE • Security/privacy • Needed to pick either detail or high level overview
- 11. QUESTIONS
Editor's Notes
- GPS – Finding Location, also keeping clock synchronized on the internet Remote Sensing – forest covering portions of the earth, monitoring this in real time, need fast hard drives and cpus to manage data Geographic information system – North Korea missile – mapping to a spherical earth vs a round earth Spatial database management systems – need to be at least 2d cannot efficiently use the B+ tree; instead they introduced special data types and spatial data structures (such as R-trees) and more efficient algorithms such as shortest path, nearest-neighbor, and range querty) Spatial statistics – first used in 1854 to track cholera in London, now used by public-health agencies to track disease
- Multiple location-aware platforms – more layers of the stack becoming spatially aware such as HTML5, social media, IP V6
- Spatial predictive analysis – predict future of paths for hurricanes, spread of diseases, traffic congestion, Systems, fleets, and crowds – L.A. in 2013 interconnected all 4500 traffic signals so it could improve traffic flow with real time traffic data Indoor – 3D maps from CAD drawings Future: Increase in volume, need to have a way to manage that. Need to move from sensors to clouds Geoprivacy
- What are some ways you use Spatial Computing in every day life? What are some ways you wish you could use Spatial Computing?