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Creating a Cloud Based Data Model for School
Boundary Collection
2013 ESRI International User Conference
Presented by Tai Phan, Andrea Conver, & Amy Ramsdell
NCES, Sanametrix & Blue Raster
School Boundary Geodatabase
History
 Continuation of the SABINS project
 Headed by Prof. Salvatore Saporito, The College of William & Mary
 David Van Riper, Minnesota Population Center
 www.sabinsdata.org
 First released in the SDDS Map
Viewer in May 2012
 2009-2010 school boundaries for the
largest 350 districts
 http://nces.ed.gov/surveys/sdds/ed
School Boundaries Collection
Initiative
 Required OMB Clearance
 Collection of school attendance areas for all 13,000+ U.S.
school districts
 Combination of data collection by Census and a “group-
sourced” mapping effort
 The 2013-2014 school year will serve as a trial year
 Census Bureau is summarizing the data by school
boundary
School District Contact and Data
Tracking Tool
 Tracks all contact between the district and the Census
collection team
 Stores information about the original dataset
 Records the date completed and user name for each
processing step
 Generates a variety of reports
 Integrates with the School Boundary Collection app
Conceptual Data Model
Attribute Transfer &
Spatial Check
Final Product
CCD Points
School
Boundaries
CCD
School
Points
Original
School
Boundaries
Census
Reference
Polygons
National
Public
School
Boundary
Geodatabase
Required Datasets
School Boundary Technologies
 Using ArcSDE 10.1sp1
 Centralized Data Repository on Cloud
 Data Replication
 Using ArcGIS Server 10.1 on the Cloud
 Data visualization
 Data dissemination
 Python (Arcpy)
Custom Toolbox
 Automated name matching
 QA/QC
 Confirm that all regular schools have a boundary
 Confirm that all attributes correspond
 Confirm that every
geographical area is
served by every grade
 Check spatial relationship
between school point
and school boundary
School Boundary Collection Workflow
Public School Boundary
Collection and Verification Tool
How the Boundaries Can be Used
 By Districts
 Creation of walk and bike zones
 Simplified boundary re-design
 Support foster care
initiatives
 School feeder
patterns
 Proximity
analysis
Workflow Issues
 Working with different teams in a variety of
locations
 No shared network
 Data collection from a variety of sources
 Balancing ease of use and data quality
 Determining what to collect
 Refactoring QA/ QC based on requirements
and deliverables
Conclusions
 A simplified data model decreases file size
and streamlines QA/QC
 Custom tools have minimized human error,
improved overall data quality, and reduced
processing time
 Reduce error and processing time by enlisting
help from the source
 Servers in the cloud increases accessibility
For More Information
Andrea Conver
(202) 600-8167
aconver@sanametrix.com
Amy Ramsdell
(703) 842-0177
aramsdell@blueraster.com

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Creating a Cloud Based Data Model for School Boundary Collection

  • 1. Creating a Cloud Based Data Model for School Boundary Collection 2013 ESRI International User Conference Presented by Tai Phan, Andrea Conver, & Amy Ramsdell NCES, Sanametrix & Blue Raster
  • 2. School Boundary Geodatabase History  Continuation of the SABINS project  Headed by Prof. Salvatore Saporito, The College of William & Mary  David Van Riper, Minnesota Population Center  www.sabinsdata.org  First released in the SDDS Map Viewer in May 2012  2009-2010 school boundaries for the largest 350 districts  http://nces.ed.gov/surveys/sdds/ed
  • 3. School Boundaries Collection Initiative  Required OMB Clearance  Collection of school attendance areas for all 13,000+ U.S. school districts  Combination of data collection by Census and a “group- sourced” mapping effort  The 2013-2014 school year will serve as a trial year  Census Bureau is summarizing the data by school boundary
  • 4. School District Contact and Data Tracking Tool  Tracks all contact between the district and the Census collection team  Stores information about the original dataset  Records the date completed and user name for each processing step  Generates a variety of reports  Integrates with the School Boundary Collection app
  • 5.
  • 6. Conceptual Data Model Attribute Transfer & Spatial Check Final Product CCD Points School Boundaries CCD School Points Original School Boundaries Census Reference Polygons National Public School Boundary Geodatabase Required Datasets
  • 7. School Boundary Technologies  Using ArcSDE 10.1sp1  Centralized Data Repository on Cloud  Data Replication  Using ArcGIS Server 10.1 on the Cloud  Data visualization  Data dissemination  Python (Arcpy)
  • 8. Custom Toolbox  Automated name matching  QA/QC  Confirm that all regular schools have a boundary  Confirm that all attributes correspond  Confirm that every geographical area is served by every grade  Check spatial relationship between school point and school boundary
  • 10. Public School Boundary Collection and Verification Tool
  • 11. How the Boundaries Can be Used  By Districts  Creation of walk and bike zones  Simplified boundary re-design  Support foster care initiatives  School feeder patterns  Proximity analysis
  • 12. Workflow Issues  Working with different teams in a variety of locations  No shared network  Data collection from a variety of sources  Balancing ease of use and data quality  Determining what to collect  Refactoring QA/ QC based on requirements and deliverables
  • 13. Conclusions  A simplified data model decreases file size and streamlines QA/QC  Custom tools have minimized human error, improved overall data quality, and reduced processing time  Reduce error and processing time by enlisting help from the source  Servers in the cloud increases accessibility
  • 14. For More Information Andrea Conver (202) 600-8167 aconver@sanametrix.com Amy Ramsdell (703) 842-0177 aramsdell@blueraster.com