Location Based Analysis NFIC Training December 2007.ppt

National Fire Incident Reporting System (NFIRS) Version 5.0

Location Based Analysis NFIC Training December 2007.ppt

OMB: 1660-0069

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  1.  

 
  1. What is Location Based Analysis?

  • Spatial component 

  • Where something happened 

  • Other places like it? 

 
  1. How do we do it?

  • Data available in each incident report 

  • Geocode 

  • Join NFIRS dataset with other datasets 

    • Census 

    • Cadastral 

    • Rural/Urban continuum 

    • ??? 

  • Analyze 

 
  1. Why Geocode?

  • Additional Data 

    • Census 

    • Cadastral 

    • Rural/Urban 

  • Small Area Analysis 

  • Specialized Incident identification 

  • Apples to Apples 

  • Identification of Apples, Oranges and Pears 

 
  1. Geocoding basics

  • Concatenated Address Fields from Basic module 

  • NFIRS 4.1 vs. 5.0, CAD 

  • Proxy zip code 

     

 
  1. Geocoding Tools

  • Within your Geographic Information System (GIS) i.e., ArcGIS 

    • Integrated within system 

    • “simple” to use 

    • Summary accuracy score 

  • Standalone geocoding application (FEMA uses Centrus) 

    • External to GIS, although could be integrated 

    • Finicky 

    • Detailed result description 

  • Reference Dataset 

 
  1. Issues/Concerns

  • Privacy of information 

    • Address is public record 

    • Only present aggregated results 

 
  1. Issues/Concerns

  • Accuracy of geocode 

    • Limit of precision/area of analysis 

    • Street/Address based geocode 

    • Zip code centroid based geocode 

    • Case by case suitability 

    • Few cases may be reviewed manually 

       

 
  1. Geocoding Results

  • NFIRS 2005 Public Data Release file, Location Type 1, Version 5.0 

  • 1,537,682 records processed 

  • 96% geocoded to Zip centroid or better 

  • 72% geocoded to a street section 

 
  1. Current Applications

  • Fire Experience in Student Dominated Residential Areas near Colleges/Universities (aka Off Campus Fires) 

  • NFIRS Representativeness study (OMB) 

     

 

 

 

 

 

 
  1. NFIRS Representativeness

  • OMB directed 

  • Geographic representation of NFIRS dataset 

  • Methodology: 

    • Match NFIRS reporting Fire Departments to the USFA Fire Department Census 

    • Break FDs into NFIRS/non-NFIRS groups 

    • Compare and contrast by Location, Population Protected, and other variables of interest 

 
  1. Questions

 
  1. Thank you!

  1. Jim Heeschen

    National Fire Data Center

    U.S. Fire Administration

    16825 South Seton Avenue

    Emmitsburg, MD 21727

    301-447-1180

    [email protected]

 
File Typeapplication/vnd.ms-powerpoint
File TitlePresentation title slide - 42 pt Times New Roman, White
Subject2004 FDIC Presentation
AuthorWilliam Troup
Last Modified ByAdministrator
File Modified2007-11-29
File Created2003-08-19

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