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EFAA MAPS PROJECT
IN PARTNERSHIP WITH CU BOULDER
DEPARTMENT OF GEOGRAPHY MERIDIAN LAB
IDEA FORMATION
OBJECTIVES
•  Spatially map EFAA clients to see geographical
coverage of services and identify any coverage
gaps
•  Compare service coverage with levels of poverty/
income in Boulder and Broomfield counties
•  Update our service maps to be able to more easily
and visually explain what services EFAA provides
where
VISUALIZING THE DATA
FROM IDEAS TO MAP
•  Looking for Spatial Patterns
-  Address Location
-  Turning Households into Points
-  Creating Density Maps aka ‘Heat Maps’
•  Allows for comparison of households per census tracts
to census demographic data, such as median
household income per census tract.
HOW IT WAS DONE: TOOLS
•  ETO Client Database
•  Census Data
-  American Community
Survey 2009-2013
(Demographics)
-  TIGER Line Data
(Geospatial topology)
•  State and County GIS Data
•  Software: Esri’s ArcGIS,
Excel, RStudio and R
scripting language
DATA AND SOFTWARE USED
METHODOLOGY
•  Obtain and Clean Data
•  Address Location - Data to points to map
•  Households and Program Usage
•  Create Geospatial Statistics: Density Layers based
on proximity
•  Count households within census tracts, symbolize
and compare to tract demographic attributes
MAPPING AND DATA ANALYSIS
MAPS
CLIENT HOUSEHOLDS
TOO SENSITIVE FOR LINKEDIN (REMOVED)
MAPS
CLIENT HOUSEHOLDS PER CENSUS TRACT AND
CENSUS TRACT MEDIAN INCOME DEMOGRAPHICS
MAPS
2014 ACTIVE CLIENT HOUSEHOLD DENSITY
MAPS
UPDATED SERVICE MAPS
DATA TRANSPARENCY
•  Important to note census
tracts have increased
income inequality within
them
•  Constraints of both the
Data and Time
WHY MAPPING IS IMPORTANT
AND HOW IT BENEFITS YOU
•  Geospatial pattern analysis
•  Benefit to EFAA
•  Benefit to client
•  Future mapping capabilities
•  Following demographic trends over time
•  Mapping donors
QUESTIONS?
THANK YOU!

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EFAAProject2015

  • 1. EFAA MAPS PROJECT IN PARTNERSHIP WITH CU BOULDER DEPARTMENT OF GEOGRAPHY MERIDIAN LAB
  • 3. OBJECTIVES •  Spatially map EFAA clients to see geographical coverage of services and identify any coverage gaps •  Compare service coverage with levels of poverty/ income in Boulder and Broomfield counties •  Update our service maps to be able to more easily and visually explain what services EFAA provides where
  • 4. VISUALIZING THE DATA FROM IDEAS TO MAP •  Looking for Spatial Patterns -  Address Location -  Turning Households into Points -  Creating Density Maps aka ‘Heat Maps’ •  Allows for comparison of households per census tracts to census demographic data, such as median household income per census tract.
  • 5. HOW IT WAS DONE: TOOLS •  ETO Client Database •  Census Data -  American Community Survey 2009-2013 (Demographics) -  TIGER Line Data (Geospatial topology) •  State and County GIS Data •  Software: Esri’s ArcGIS, Excel, RStudio and R scripting language DATA AND SOFTWARE USED
  • 6. METHODOLOGY •  Obtain and Clean Data •  Address Location - Data to points to map •  Households and Program Usage •  Create Geospatial Statistics: Density Layers based on proximity •  Count households within census tracts, symbolize and compare to tract demographic attributes MAPPING AND DATA ANALYSIS
  • 7. MAPS CLIENT HOUSEHOLDS TOO SENSITIVE FOR LINKEDIN (REMOVED)
  • 8. MAPS CLIENT HOUSEHOLDS PER CENSUS TRACT AND CENSUS TRACT MEDIAN INCOME DEMOGRAPHICS
  • 9.
  • 10.
  • 11. MAPS 2014 ACTIVE CLIENT HOUSEHOLD DENSITY
  • 12.
  • 13.
  • 15.
  • 16.
  • 17. DATA TRANSPARENCY •  Important to note census tracts have increased income inequality within them •  Constraints of both the Data and Time
  • 18. WHY MAPPING IS IMPORTANT AND HOW IT BENEFITS YOU •  Geospatial pattern analysis •  Benefit to EFAA •  Benefit to client •  Future mapping capabilities •  Following demographic trends over time •  Mapping donors