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Maxims for Maximally Effective Mappers

Posted by AntiCompositeNumber on 30 October 2020 in English. Last updated on 3 November 2020.
  1. Know your source data.
  2. Map only what you know.
  3. Your goal is improvement, not completion.
  4. Fewer, more accurate nodes are better than many less accurate nodes.
  5. All lines are straight, all curves are circular, and all corners are perpendicular until proven otherwise.
  6. Map one thing and map it well.
  7. Don’t be afraid to delete inaccurate nodes imported from TIGER. The import from 2007 won’t care.
  8. Make your editor work for you.
  9. Satellite imagery can hide mistakes and missing features. Take a step back and look at the rendered map.
  10. Validate and sync often.
  11. Nothing is ever named “State Route”
  12. Structural and semantic accuracy are more important than visual accuracy.
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Discussion

Comment from IpswichMapper on 3 November 2020 at 19:28

What does point 11 mean?

Can you be more specific about point 9?

As for point 6, would you prefer a town full of address numbers or a suburb of that town with housenumbers, fences and gardens? I would definitely prefer the former.

Comment from AntiCompositeNumber on 3 November 2020 at 20:37

The TIGER import in the US in 2007 used tags like “name=State Route 101” for unnamed roads with a route number. In OSM, that data should be stored in the ref tag instead, as “ref=NH 101”. No road is actually named “State Route 101”, so that tag should be removed when the number has been copied to the ref.

Satellite imagery can be quite busy, which makes it much easier to not see an area that you haven’t mapped, or an area that did not end up the way you thought it should. It might not apply to everyone, but it’s something that’s helped me.

A town full of address numbers is usually the more useful of the two, but if data collection is required, it will take a significant amount of time and effort. 6 is more about not trying to map house numbers and buildings and sidewalks and… all at the same time, especially over a larger area. Trying to map many topics isn’t necessarily bad, nor is trying to improve a large area. Trying to do both at the same time, I’ve found, leads to inaccuracy.

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