Spatial Housing Study

I designed this poster to outline the results of a group project completed for a course in Survey Methodology. Working as an interdisciplinary team of statisticians, computer scientists, and designers, we geocoded and studied over 4,000 data points in an attempt to uncover spatial patterns and relationships. These data points from official records indicated where CMU students lived in Pittsburgh and included variables such as age, gender, department, etc. From personal experience, we all thought that people in certain colleges and departments tended to group together but when we analyzed the data we discovered that there was no statistically significant clustering by department. In the end our findings were not as interesting as we had hypothesized, although we did discover that graduate students on average live a statistically significant degree closer to bars than PhD students.

My goal in developing this poster was to show all the work we had done as a group while also making it easy for people unfamiliar with the project to understand our results. The largest map simply presents the data as is and helps to orient the viewer. The group of 8 cluster maps shows the results of our study, disproving our original hypothesis. The right side of the poster contains details on our hypothesis, methods, and results. Given more time, this would have been a cool dataset with which to create an interactive infographic that people could use to explore student housing in Pittsburgh. This would be a great tool for new students looking for their first off-campus apartment.