Library Deserts of Michigan
2022: Day 8 (OpenStreetMap)
Nov 8, 2022
A couple of caveats before sharing this map: It was made fast. That's the point of the #30DayMapChallenge. This means that thorough analyses aren't realistic. A couple of things make the percentage shown here very much an overestimate. Read the asterick in the map. In addition to that, a lot of the library deserts here are just trees. Michigan is a super densely forested/farmed state with huge tracts of land with no cities or people etc. Just happy little trees. With more time, a more accurate number could come about by, for example, subtracting these forested areas from the deserts. That would reduce the percentage there.
Tool: ArcGIS Pro
Libraries: © OpenStreetMap contributors
Use Overpass Turbo to export OpenStreetMap data: Navigate to area of interest > click Wizard > type "amenity=library" > click Build and Run Query > Export to GeoJSON
ArcGIS Pro > JSON to Features > Point
Change coordinate system to NAD 1983 Michigan GeoRef
Add Countries layer > Definition Query NAME = 'Michigan'
Clip Libraries to Michigan
Create 10mi buffer around libraries (planar, dissolve all)
Erase buffer from state of Michigan boundary
To calculate estimated population affected: added census tracts from Esri’s Living Atlas > Summarize Within population sum within the erased buffer. Divide sum by current state population (10,050,811)