Add operator field to highway=street_lamp

[CorruptComputer]

Description, Motivation & Context

I opened a PR to add operator presets to the NSI for highway=street_lamp: osmlab/name-suggestion-index#9851

This PR is to add the operator section to these objects so users can more easily add this data or even know its an available field.

Related issues

Closes openstreetmap/iD#10443

Links and data

Relevant OSM Wiki links:

• https://wiki.openstreetmap.org/wiki/Tag:highway%3Dstreet_lamp

Relevant tag usage stats:

• https://taginfo.openstreetmap.org/tags/highway=street_lamp

[github-actions]

🍱 You can preview the tagging presets of this pull request here.

[CorruptComputer]

Test-Documentation

Preview links & Sidebar Screenshots

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Info-i

Wording

• American English
• name, aliases (if present) use Title Case
• terms (if present) use lower case, sorted A-Z

[CorruptComputer]

With the NSI addition released now, here is an updated screenshot of this with an operator included:

Compared to what 2.30.4 shows for these currently:

[CorruptComputer]

Hey @tyrasd sorry for the ping, this PR has been waiting for review for a couple months and just wanted to check the status of it. If this isn't something you'd want to add just let me know and I can close this so its not just sitting here.

[CorruptComputer]

Hey @tordans, thank you for the mention in the other PR, I think I understand the hesitancy to add this.

When I was checking around for operators to add to the NSI I was using this Overpass query, it seems to work for fairly large areas:

[out:json][timeout:100];
(node["highway"="street_lamp"]({{bbox}}););
out center;

{{style:
node
{ color:red; fill-color:red; }

node[operator]
{ color:yellow; fill-color:yellow; }

node[operator:wikidata]
{ color:green; fill-color:green; }
}}

The countries of Spain and Portugal for example:

I took a look at the QLever links you had mentioned, I've never used SPARQL before but reading through those I think I have a rough idea of how it works. I'll see if I can get something made to check for this, but in the mean time that Overpass query could help if you wanted to just manually check around for usages of this.

Edit:
Not sure if this was what you were looking for, but I was able to come up with this for the state query:
https://qlever.cs.uni-freiburg.de/osm-planet/NZwy85

The country query kept throwing errors that the server was out of RAM, so I'm not sure if I can test any changes to that one.

Tried to allocate 16.3 GB, but only 13.1 GB were available. Clear the cache or allow more memory for QLever during startup

[tordans]

Thanks for the query @CorruptComputer
I asked at https://osmus.slack.com/archives/C1R62SM9T/p1730613008738959 if someone knows how to get the country query going.
And also maybe taginfo/taginfo#440 will give an answer to this problem at some point.

Another way to get some stats is https://dashboard.ohsome.org/#backend=ohsomeApi&groupBy=boundary&time=%2F2024-10-14T13%3A00Z%2FP1M&measure=count&filter=highway%3Dstreet_lamp+and+operator%3D*&adminids=-148838%2C-1428125%2C-295480%2C-1311341%2C-51477%2C-62149%2C-62273%2C-52411%2C-2323309%2C-50046%2C-2978650%2C-52822%2C-49715%2C-16239%2C-51684%2C-214885%2C-218657%2C-2202162%2C-51701%2C-365331

(I selected a few countries but not by any system, so there are likely gaps in here)

-	-	date	number
148838	United__States	2024-10-14	11352
1428125	Canada	2024-10-14	45850
295480	Portugal	2024-10-14	69
1311341	Spain	2024-10-14	712
51477	Germany	2024-10-14	53757
62149	United__Kingdom	2024-10-14	5879
62273	Ireland	2024-10-14	196
52411	Belgium	2024-10-14	177
2323309	Netherlands	2024-10-14	1118
50046	Denmark	2024-10-14	65
2978650	Norway	2024-10-14	87
52822	Sweden	2024-10-14	627
49715	Poland	2024-10-14	1451
16239	Austria	2024-10-14	8
51684	Czechia	2024-10-14	25
214885	Croatia	2024-10-14	95
218657	Slovenia	2024-10-14	11
2202162	France	2024-10-14	47438
51701	Switzerland	2024-10-14	473
365331	Italy	2024-10-14	6418

[CorruptComputer]

Its not a great solution, but after some tinkering I found that you can query this by boundary=timezone: https://qlever.cs.uni-freiburg.de/osm-planet/9g0Ztr