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 todata
. - run
make
.
The Make script will
- extract all active stop point coordinates
- retrieve OpenStreetMaps landmarks with around these coordinates.
- eliminates duplicates.
- classifies the landmarks with the given classifiers.