These are two maps I created for a MBA student while at the University of Wisconsin Eau Claire. He is opening up a new indoor virtual golf facility and as part of the report he had to give, commissioned me to create a few maps for him to display potential locations.
The map on the left displays the best potential locations for the new facility, giving greater weight to the facility being near a golf course (lime green polygons). Red areas are deemed "acceptable", yellow areas are "good", while green areas are "optimal" locations. Link to PDF
The map on the right displays the best potential locations for the new facility, giving greater weight to the facility being within a close proximity to Oakwood Mall, a high traffic area. The same color scheme applies to this map as was used in the map on the left. Link to PDF
Both maps took into account multiple criteria (proximity to roads, golf courses and the mall, and also being located near high income and high density urban areas). For the purpose of this map, we assumed that those viewing and using this map had previous knowledge of the city, and thus knew where the high density urban areas of the city were located. This being written, the only criteria that went into the actual mapping process were the proximity to roads, courses, and the mall. A buffer was created on all these data layers and they were then overlaid based on a hierarchy weighing certain variables (Proximity to the mall and proximity to the courses) higher in each separate study. The multiple ring buffers were then calculated from the values obtained from the previous overlay, giving us the final result.
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