I've been downloading OSM unlabeled road image data through Mathematica and processing it so it only includes main roads.

For example, here's an image of Sao Paulo at zoom 13, pre and post segmentation. alt text alt text

The results are ok, but I want to know how can I skip this segmentation effort.

Is there a way to download only the road layer with Maperitive or other 3rd party application?

asked 23 Jul '15, 01:16

antonio_rt's gravatar image

antonio_rt
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accept rate: 0%


In short, yes. The better approach will vary based on what you are trying to do. Here's a quick Overpass Turbo query that extracts some of the major road vectors:

http://overpass-turbo.eu/s/ayj

Perhaps the vector representation there is better suited to what you are doing than a rendering.

(The Overpass api can return the data in a variety or formats, see http://wiki.openstreetmap.org/wiki/Overpass_API/Overpass_QL for more)

If you want to render a small to medium sized area, using something like Maperative with a country or regional extract would be a reasonable idea.

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answered 23 Jul '15, 03:41

maxerickson's gravatar image

maxerickson
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accept rate: 32%

Thanks, that overpass query would be ok if it were without text labels and coloring. I want an output like the one shown in the binary mask

(23 Jul '15, 04:56) antonio_rt

The geojson from Overpass-Turbo can be processed anyway you like (or you can save GPX etc), e.g., with QGIS. Furthermore you can use MapCSS to style the data directly in Overpass-Turbo. It really depends what it is that you want to do.

(23 Jul '15, 09:38) SK53 ♦

Options:

  1. Download OSM extract for region of interest. Import into osm2pgsql. Use Kosmtik or Tilemill (not Tilemill 2 aka Mapbox Studio) to develop a map style (in MapCSS) that shows only (main) highways. Render image, done.
  2. Download OSM extract for region of interest. Use osmosis with the --tag-filter option, or use osmfilter, to extract just the highways from the file. Then load and render in Maperitive.
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answered 23 Jul '15, 07:11

Frederik%20Ramm's gravatar image

Frederik Ramm ♦
66.7k806151033
accept rate: 24%

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question asked: 23 Jul '15, 01:16

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last updated: 23 Jul '15, 09:38

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