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I have used my geo-referenced map from 1939 with an overlay of data applied by QGIS to create a chloropleth map that shows were the wrestlers will most likely be during Common Hour on Tuesdays and Thursdays (if limited to a certain area, as shown on my map).
I gathered my data by simply sending a message to the wrestlers asking where they would most likely be during Common Hour if they could only pick buildings that are considered to be in the same area of Chambers. This includes the Chambers, Freshman dorms, the Union, the Library, the Doe Weight Room (behind library), and all of the buildings on the “D”. The reason I only inquired about this range of area is because my 1939 map doesn’t include all of campus.
My data strengthens the information contained on the map because it provides understanding besides simple location of buildings. This map does two things effectively. First, it shows location of new and old buildings on campus; the fact that the 1939 map cannot cover the current campus shows how much the campus has grown. Second, it provides a narrative of where the wrestlers decide to place themselves when they have an hour of ‘free time’. Most of the wrestlers chose to go to the weight room while some went to the Library or Union, and others went to their dorms. From this we can figure that some wrestlers might have work or desire sleep, some may take this time to eat while most would try to work out. This data might be a good start to predicting the behaviors not only of wrestlers but of Davidson athletes. and even Davidson non-athlete students.
My greatest challenges were working with the limited 1939 map, acquiring answers from all of the wrestlers in a timely manner, and navigating QGIS. I limited the wrestlers’ choices to the buildings that the 1939 map covered in order to remedy my situation. As for QGIS, using the program is the best way to figure it out. Learning in class is helpful but actually working through mistakes is a true learning process. I’m beginning to understand the learning curve of QGIS; only “sort of” knowing it renders it rather useless, however, becoming familiar with QGIS opens up many doors to mapping.