Mapping Neighborhood Effects with Census Data & Non-Census Boundaries
Authors: Ryan Coughlan
The study maps census and community variables against school data using school zone boundaries and finds a correlation between ‘neighborhood effects’ and school success in NYC. I first create a geodatabase and establish topology rules to clean the data and ensure that every school zone is associated with one public school. I then use attribute domains to split and merge features and proportionally adjust census data to school zone boundaries in order to analyze all related data by neighborhood.