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Geospatial Predictive Analytics       NJ Fusion Center (ROIC)                Ben Holland             Geospatial Analyst   ...
GeoEye Analytics NJ Fusion Center (ROIC) Project •   Geospatial predictive analytics applies advanced     statistical anal...
Geospatial Predictive Analytics with Signature Analyst           Jersey City      Area of Interest (AOI)                  ...
Discovering New Locations of ConcernIdentifying geospatially similar areas               Density Map               Predict...
Staten Island, NY Serial Burglary Pattern: January 2012                                                     Past Related B...
“all crimes, all hazards,all threats, all the time”
“all crimes, all hazards, all threats, all the time”
Convenience Store Robberies AssessmentTwelve past robberies used to build the predictive assessment
Convenience Store Robberies AssessmentIdentifying which convenience stores are mostlikely to be targeted next by the robbe...
Most recent murder
Area of apprehension                                              e   r                                           rd      ...
Bringing Innovation to Global Humanitarian Efforts through Human Geography & Predictive Analytics
Bringing Innovation to Global Humanitarian Efforts through Human Geography & Predictive Analytics
Bringing Innovation to Global Humanitarian Efforts through Human Geography & Predictive Analytics
Bringing Innovation to Global Humanitarian Efforts through Human Geography & Predictive Analytics
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Bringing Innovation to Global Humanitarian Efforts through Human Geography & Predictive Analytics

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This presentation, "Bringing Innovation to Global Humanitarian Efforts through Human Geography & Predictive Analytics," was presented at Esri UC 2012 by Ben Holland, GeoEye Geospatial Analyst

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Bringing Innovation to Global Humanitarian Efforts through Human Geography & Predictive Analytics

  1. 1. Geospatial Predictive Analytics NJ Fusion Center (ROIC) Ben Holland Geospatial Analyst holland.ben@geoeye.com
  2. 2. GeoEye Analytics NJ Fusion Center (ROIC) Project • Geospatial predictive analytics applies advanced statistical analysis and modeling techniques to Outside spatial relationships Agencies (e.g., FBI, Jersey City PD) • To answer questions such as: Sub j Ma ect tte Exp ert r ion – Where is something most likely to occur? ise at rm g fo Tra In arin dec Sh raf – Where is the greatest risk? t Sof – How should I best deploy my resources? t wa re
  3. 3. Geospatial Predictive Analytics with Signature Analyst Jersey City Area of Interest (AOI) Geospatial Predictive Analytics Predictive Assessment Past Events GIS Factor Data
  4. 4. Discovering New Locations of ConcernIdentifying geospatially similar areas Density Map Predictive Assessment
  5. 5. Staten Island, NY Serial Burglary Pattern: January 2012 Past Related Burglary Likelihood of Future Burglary Highest High
  6. 6. “all crimes, all hazards,all threats, all the time”
  7. 7. “all crimes, all hazards, all threats, all the time”
  8. 8. Convenience Store Robberies AssessmentTwelve past robberies used to build the predictive assessment
  9. 9. Convenience Store Robberies AssessmentIdentifying which convenience stores are mostlikely to be targeted next by the robber Subsequent robb
  10. 10. Most recent murder
  11. 11. Area of apprehension e r rd mu e nt ec tr os M

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