3D printed georeference maps of San Francisco make beautiful art via instructables
The social fabric of San Francisco can be read through many lens, each making up its own topography. I believe that through data visualization and mapping we can learn much about our surroundings. For this project, I was interested in creating thematic maps from publicly accessible data, which describe the social makeup of San Francisco. By choosing nine social factors to map, my goal was to create a portrait of the city in an accessible and tangible form.
To do this, I first compiled the data and then created georeferenced maps. I then brought these maps into digital modeling software to export .stl files for 3D printing. Finally, I constructed a frame for the three-dimensional maps, so that they could be displayed together. By creating a three-dimensional representation of the data, my hope is to engage the viewer first by examining the form of the maps and then make their own correlations between location, adjacencies, and relation to topography.
The social factors that I used are:
No Fault Evictions/Google Bus Stops
Ambient Noise Levels
Percentage Race White
Bicycle Routes and Paths (current and planned)
Percentage Home Owners
Driving Distance to Hospitals
Median Income Level
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