Spatial analysis refers to the distribution of a variable across geography. If all things were equal, we would expect student characteristics to be randomly distributed over space, but other factors may cause them to be dispersed or clustered. This study examines an in-depth analysis of Hartford Public School student-level data (grades 3-8) across four years (2008-09 to 2011-12), based on geocoding their home addresses to census block groups to identify spatial clustering and hot spots regarding student demographics, achievement, and magnet school enrollment.
Zannoni, Diane, and Jack Dougherty. Spatial Analysis of Hartford Public School Student Characteristics Across Census Block Groups, 2009-12: A Preliminary Report. Cities, Suburbs, and Schools Project. Hartford, CT: Trinity College, October 24, 2013. http://digitalrepository.trincoll.edu/cssp_papers/.