Open Data Day Zurich Hackathon 2017

The goal was to classify public transport stops by their surrounding landmarks, like universities or coworking_spaces, extracted from OpenStreetMap.

• The tool chain uses make and python 3.6.
• create a data folder or change the Makefile variable.
• add the data-examples/haltepunkt.csv file to data.
• run make.

This will:

• extract all active stop point coordinates
• retrieve OpenStreetMaps landmarks with around these coordinates.
• eliminates duplicates.
• classifies the landmarks with the given classifiers.

• the proximity search of Overpass will most likely kick you out, because of too many requests. Solution for this is limiting the stop point coordinates.