I recently had to do a lot of work mapping locations inside Disneyland. Once you are inside the park, street addresses aren't useful. I used geoJSON objects to

I recently had to do a lot of work mapping locations inside Disneyland. Once you are inside the park, street addresses aren't useful. I used geoJSON objects to describe the geometry of the resort, the park, then each land, then each ride, restaurant, store, etc, then the elements of each of these, so you have increasingly smaller geometries. Then I used geospatial queries to determine if a point is inside, outside, or nearby a known geometry. So you can say, for example that a certain churro cart is (inside) Disneyland Resort [resort] > (inside) Disney California Adventure [park] > (inside) Buena Vista Street [land], (nearby) Grizzly River Run. Another challenge is that these shapes change over time. Rides, lands, etc constantly change due to construction, but queues dynamically change size and shape during the day based on crowd size (cast members put extra ropes out to control long lines, and remove them to allow for parades and extra walkways)