High School Swimming Success Using ArcGIS to predict the success of Fairfax County high school swim teams.

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Presentation transcript:

High School Swimming Success Using ArcGIS to predict the success of Fairfax County high school swim teams

Executive Summary  Predict the success of a high school swim team based on the quantity of summer league swimmers that feed a particular school  Determine how high schools are actually performing based on these predictions

Goals  Use ArcGIS to plot the number of summer league swimmers that feed each high school  Use ArcGIS to plot the success of each high school at the 2009 Regional Swim meet  Determine if there is a correlation between the number of summer league swimmers and the success of the high school team at the 2009 Regional championships

Method  Gather Fairfax County Public high schools boundary.shp file  Gather Fairfax County Public high schools location.shp file  Determine summer swim leagues in Fairfax County  Collect pool addresses, and number of swimmers for each summer pool in Fairfax County  Determine which high school boundary each pool is in  Collect scores from the 2009 Regional Swim meet  Geocode pool addresses to Fairfax County schools map  Join geocoded pool addresses.shp file to high school boundary map  Create a chroropleth map showing the results

Data Summer Swim Leagues  Northern Virginia Swim League – 102 Pools, 15,000 Swimmers  Colonial Swim League - 24 Pools, 2,500 Swimmers  Herndon Swim League - 9 pools, 500 Swimmers  Reston Swim League – 9 pools, 900 Swimmers

Analysis / Problems  Pool Boundary does not fit high school Boundary (Several Examples)  Geocoding could not find and address (Example)  Thomas Jefferson High School

Analysis

Conclusions - Results

Pool exists, but is so new that it could not be geocoded because the roads maps are not new enough

Conclusions - Results  Highest number of swimmers * McLean * Woodson * West Springfield  Lowest number of swimmers * Edison * Hayfield * Mount Vernon

Conclusions - Results

 Highest combined scores at Regionals * Robinson * Fairfax * Langley  Lowest combined scores at Regionals * Hayfield * Mount Vernon * Stuart * Falls Church

Conclusion - Results  Very difficult to predict which school will be the best (too many other factors)  Very easy to predict which schools will not do well

Further Research  Plot the number of year round swimmers that feed each high school  Plot the individual addresses for each swimmer onto the high school boundary map  Remove the dive scores from the regional meet scores