Benefits of Bilateral Real Time Data Exchange

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Benefits of Bilateral Real TimeData Exchange

• Ronald F. Abler, President
• International Geographical Union
• Fifth China-US Round Table on Scientific Data
  Cooperation
• Beijing, PRC
• 27 October 2011

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Benefits of Data Exchanges

• Enrichment of collaborating and third parties
• CAS-USGS Global Land Cover Initiative
• PAGER (Prompt Assessment of Global Earthquakes
  for Response)
• Did You Feel It? Responses feed into PAGER
• Mapped Assessments of Reported Intensities, Soil
  Amplification, Fault and Ground Motions, Seismic
  Intensity, and Population per Intensity

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Benefits . . .

• Need comparable utilities that cross all
  political borders for other disasters, especially
  floods and atmospheric disturbances
• ReliefWeb (http//reliefweb.int/)
• Round Table has taken major steps toward the
  creation of a locative world
• Real time locations of all phenomena known by
  anyone who cares to know, in real time

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Trends forcing the locative world

• Need to knowcreating the global context in
  which bi- and multi-lateral data exchanges will
  occur, even as such exchanges build that world
• Scale extensions for GIS/GIScience
• Mesoscale origins
• Microscale needs (indoor)
• Macro-scale advantages (global)GSDI
• Global Spatial Data Infrastructure Association
  (GSDI) http//www.gsdi.org/associnfo

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Trends . . .

• Democratization of mapping
• Crowdsourcing (crowd science, citizen science)
• Astronomy, physics, genealogy
• Medicine?
• Peoples Atlas of Chicago
• OpenStreetMap (OSM) http//www.openstreetmap.org/
  
• Collaborative project to create a free editable
  map of the world

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Trends . . .

• Democratization of mapping
• Crowdsourcing . . .
• Supplements standard and official mapping
• Accuracy and Precision?
• Remote sensing signatures
• Several low resolution signatures yield more
  information than a single high resolution
  signature
• Combinatorial power of additional data from
  different sources

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Next Steps

• Build on the accomplishments of ChinaUS
  Roundtable
• Expanded and new bi- and multi-lateral real time
  data exchanges
• Attend to the forces driving the evolution of
  Spatial Data Infrastructures SDIs at micro-,
  meso-, and macro-scales
• Incorporate crowdsourcing and crowd science
• Key resources in context of shrinking finances

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