I'm doing an quality assessment of openstreetmap's street data. As a comparism dataset I have to use an administrative dataset, which is highly accurate and comes in polygons. Here's a sneak peek:

enter image description here

So far I've examined positional accuracy via goodchild and hunter's buffer method. But that's not enough content and I'm struggling to find more evaluation methods I could build some models with. I came across hausdorff distance, but a (required) conversion from polygons to polylines didn't work out well.

Any ideas?

  • You don't really have a question here. Detailing the issue you had with polygon-polyline conversion would be an appropriate, focused GIS SE question.
    – Vince
    Jan 6, 2016 at 12:05
  • Okay let me try to be more clear about it: I'm looking for ideas to evaluate data quality with a polygon as reference data set and a polyline as an assessment data set.
    – Revo
    Jan 7, 2016 at 7:49
  • Did you check wiki.openstreetmap.org/wiki/Research? This is a comprehensive list of resarch done in the osm environment. Jan 7, 2016 at 9:32
  • Please edit the question to make clarifications. Take the Tour for more information on how GIS SE works.
    – Vince
    Jan 7, 2016 at 11:46


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