Skip to content

Latest commit

 

History

History
20 lines (15 loc) · 918 Bytes

README.md

File metadata and controls

20 lines (15 loc) · 918 Bytes
Raw

odd-zurich-stops-classification - classifying public transport stops by surrounding.

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.

Usage

  • 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.

Limitations

  • 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.