Document Type


Publication Date



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.



To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.