Mountain Pass Map

I have created a tool that shows all the mountain passes in a certain (selectable) region.
The tool can be found here:

As an example:
on this screenshot you see all the mountainpasses in the Alps that are 3000 (or more) meters in height.

Once you click on a blue dot you see the details:

The preselected mountain ranges included are:

on the left bottom side of the screen you can select a different background for the map.

You can always add any region you are interested in to this tool, but you have to store that data locally on your computer. You need some overpass code and create a geojson file to have the data you are interested in on your computer.

An example is here:

[out:json][timeout:180];
(
node
[“mountain_pass”=“yes”]
[“ele”]
[“name”~“.”]
({{bbox}});
node
[“natural”=“saddle”]
[“ele”]
[“name”~“.”]
({{bbox}});
);
out body;

  1. Move the map to the location you are interested in and click run.
  2. Then click export to create a file named: export.geojson.
  3. Rename that file to a better name, but keep the extension. (like rockymountain.geojson)
  4. Store that file somewhere on your computer.
  5. Now you can select that file from the menu on the screen (LOAD YOUR OWN GEOJSON DATA)
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A quick heads-up; perhaps you might then have an opinion on:

As I don’t use ID but JOSM (which has this pre-set), I didn’t even know of this lack of presets in ID.

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I was more thinking that you, being quite knowledgeable (I assume, since you made that website!) regarding mountain_pass=yes and natural=saddle tags (and thus hopefully also of difference in meaning and usage of them), you might be able to help them with their dilemma on how they should be named and mapped?

If you were able to help them reach a conclusion, iD (and other editors using id-tagging-schema) would include those tags, and as a result many iD users would be able to map them too, so your map would become richer too as a consequence. (there is the motive I assumed you might have in helping!)

see my comment on github

I have extended the number of passes and also have included a few cases where the peaks can be found:

1 Like