× This Challenge was posted 7 years ago

Challenge view

Back to Project

Stops classification

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.

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.

Contributed 7 years ago by oleg for Open Data Day Zurich

School of Data CH   Slack | Twitter | Facebook


Creative Commons LicenceThe contents of this website, unless otherwise stated, are licensed under a Creative Commons Attribution 4.0 International License.