Selection for the client was based on geographic and demographic criteria in order to locate
a suitable region for their future home. In determining where the clients should ideally buy, I
examined Alachua County, Florida, the City of Gainesville and surrounding areas. After focusing
on this broad geographic area, I performed several tasks to narrow the field. Specifically, I looked
at locations in proximity to the following criteria: bus routes, community centers, the client’s
family, North Florida Regional Medical Center (NFRMC), and the University of Florida.
All of the maps based on geographic proximity use a ranking of one (1) being the closest
number, and the highest number being the furthest from the selected criteria. Each color ring
level is approximately 2.65 miles wide. After performing these filters, I moved on to performing
similar tasks on the demographic data of the median home value and the density of other people
in a similar age range (65 +). For these maps, the highest number represents the best choice and
one (1) represents the worst choice. Distance was not a factor in these.
Once the geographic and demographic data was examined for the best choice in each field, I
weighted each criterion individually and performed two overlays where all of the parameters
were examined in relation to each other. For the first overlay, each item was weighted equally.
The preferred location results are outlined in red, and the ideal locations having the highest
number. In the second overlay, I weighted the parameters differently. I put the main emphasis
on the location to the client’s family, with a secondary emphasis on the median home value; the
remaining criterion received lesser weightings. Again, the preferred location results are outlined
in red and the ideal locations having the highest number.
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