Aaaand now I've fleshed out the data in the map with proper tags.

Overpass-turbo query here: https://overpass-turbo.eu/s/26uS

#surveillance #alpr #osm #OsmAnd #OpenStreetMap #surveying #gis #flock #FlockSafety #DeFlock #DeFlockMe #FortWorth #dfw #StreetComplete #OverpassTurbo

@Armavica @Ragon2
Importer des données avec overpass turbo depuis openstreetmap pour créer ses propres cartes dans umap ou autres.
#overpassturbo
#umap
#openstreetmap

I'm giving a workshop about #OpenStreetMap's Overpass query language on Saturday evening at #gpn23

It's a very powerful and useful tool, allowing for things such as custom queries, maps, statiscs, OSINT, or finding mistakes in OSM's data.

Unfortunately it's not the most intuitive thing, but we'll get you there during the workshop.

There are limited seats available and registration is mandatory: https://pretix.entropia.de/entropia/gpn23-workshops/89/

#gpn #osm #osint #overpass #overpassql #overpassturbo #overpassultra

@meoloa Sieht zumindest in OpenStreetMap noch mau aus.

https://overpass-turbo.eu/s/26gz

#OpenStreetMap #OverpassTurbo #Kiel #Trinkbrunnen

@richlv The #OverpassTurbo has very helpful examples; I used the "find duplicate nodes" and now trying the "nodes not in a relationship."

First, needed 2 regions as #Baltimore has an unusual governing split between the City and the County. Example used Bonn as the area. My version:

(
{{geocodeArea:"Baltimore County"}};
{{geocodeArea:"Baltimore"}};
)->.metroArea;
node(area.metroArea)[highway=bus_stop]->.all;

or

node(area.metroArea)[bus=yes]->.all;

(those 2 tags do not 100% coincide)

Die Fahrradstraßen in Bonn

https://overpass-turbo.eu/s/23Kn

#fahrradstraße #bonn #osm #OverpassTurbo

I wanted to get into #OSM's #OverpassTurbo for #geolocating for ages and when I saw the window in this clip I thought that looks easy enough to finally give it a shot. The text of another post showing a photo of the same room says they're in a hotel in Erfurt, Germany, so after reading some tutorial I came up with this query:

– a generous bbox around Erfurt
– search for streets with 4 lanes
– search for hotels 50m or less from those streets

This gave me a single hit and a quick look at satellite and street view confirmed it's the right place, yay! In a bigger city I'd probably have to add more filters, like for the parking lot and what looks like a supermarket across the street, but for Erfurt this was good enough.

Definitely gonna use Overpass more now, I was a bit scared by the wonky looking syntax at first but it's really quite simple. Just for fun I had some AI generate a query for me as well but it was way more complicated than mine and didn't find anything.

DISCLAIMER: They left the hotel 4th of May so I'm sure it's okay to post the location now. :)

@minkorrekt https://chaos.social/@minkorrekt/114461544332249361

A solid 24-hour sprint later -- I had to wrangle data from tables in PDFs to get a solid baseline to work with (#csv here: https://pastebin.com/JGLxQMbT) -- and I've got all of the polling stations for tomorrow's #election in Tarrant county mapped out in #osm #OpenStreetMap :D

https://overpass-turbo.eu/s/23ok

I experimented a bit within the polling_station:* namespace. Thinking I might be settling into a pattern, at least for #Texas. I dunno if I want to build up explicit relations between polling places and their (typical) associated buildings/areas or not. So for now, I chucked the relation data in a tag instead.

Ideally, future elections won't be such a pain to get bootstrapped; most polling stations tend to stay the same across elections.

#Tarrant #TarrantCo #dfw #FortWorth #gis #OverpassTurbo

Ich bin gerade in #BadHersfeld und ich glaube, ich habe noch nie eine Stadt mit so vielen Optikern gesehen. Die gibt es hier wirklich an jeder Ecke!

Kurz mal in #overpassturbo nachgesehen, wie schlimn die Plage ist, und siehe da: der findet nur sieben. Das hätte ich anders erwartet. Ich schätze, da fehlen einfach einige in #Openstreetmap oder sind irgendwie anders eingetragen. Da werde ich beim nächsten Spaziergang mal drauf achten (und mitzählen!).

https://overpass-turbo.eu/s/23np

By popular demand, here's a map showing the Netto Marken-Discount / Netto distribution within Germany.

#OSM #OpenStreetMap #Overpass #OverpassTurbo #OverpassUltra

Was bored on my way to #eh22 and made a map showing the ALDI Nord / ALDI Süd distribution within Germany using Overpass-Ultra and #OpenStreetMap data.

#OSM #Overpass #OverpassTurbo #OverpassUltra

@owiecc This is an example #OverpassTurbo query I use. It looks in a geocoded area, but you can modify it for a bounding box. Similarly, change the date in newer to fit your use-case. https://overpass-turbo.eu/s/22hj

Trying to export some data from #OverpassTurbo. But it will only export nodes, not ways. I've tried both gpx and geojson. I can't see any settings/options for selecting what kind of data to export. Help?

It's this search here: https://overpass-turbo.eu/?Q=%5Bdate%3A%222024-06-21T07%3A07%3A55.000Z%22%5D%3B%0A%28%0A%20%20node%28%7B%7Bbbox%7D%7D%29%3B%0A%20%20way%28%7B%7Bbbox%7D%7D%29%3B%0A%20%20//relation%28%7B%7Bbbox%7D%7D%29%3B%0A%29%3B%0D%0Aout%20meta%3B%0A%3E%3B%0Aout%20meta%20qt%3B&C=59.9180941;10.7593945;18&R

#osm

Hey #openstreetmap -freunde
ich habe mir eine kleine #OverpassTurbo Query zusammengschustert um die #Recycling-container in meinem Umfeld im Auge zu behalten. Vielleicht taugt es auch was für andere #OpenStreetMapper

https://overpass-turbo.eu/s/21vH

Have fun!

Alrighty. Several hours later, and I have Tarrant County's updated early voting locations :D

Overpass-turbo query: https://overpass-turbo.eu/s/21qx

Actual location info from county (can match up the numbers on the map to addresses): https://www.tarrantcountytx.gov/content/dam/main/elections/2025/0525/locations/0525_EV_Sched.pdf

And a reddit post in the FortWorth subreddit: https://www.reddit.com/r/FortWorth/comments/1jorg38/early_voting_locations_for_april_2025/

#reddit #pdf #OverpassTurbo #OSM #OpenStreetMap #OpenData #FortWorth #Tarrant #dfw #txpol #uspol

So far, I only have locations that serve (at least) as early voting centers. There are several more pages of day-of voting centers that I could conceivably add. I'm debating building a small, static, mobile website with #Leaflet to perhaps make a "show me my closest voting station" feature, and maybe a "schedule my voting time" feature that spits out an ical file or something. The opening hours are all there in the OSM data.

(Annoying sidenote: most college/university locations are either early vote only, election day only, or not open at all :()

Want to create a time series animation like the one @bmacs001 posted, but for your favorite region? The #OSMWiki has the rudiments of a guide to creating one with {#OverpassTurbo or #OverpassUltra or #QLever} + #QGIS + #FFmpeg:

https://wiki.openstreetmap.org/wiki/OpenHistoricalMap/QGIS

Over(s)pass: Come "divertirsi" con i dati di OSM | video di Andrea Albani, su come usare #OverpassTurbo, visto passare in una discussione #openstreetmap_it Piemonte https://www.youtube.com/watch?v=s4IZOH6kY4k

Dites les féru(e)s d'#OSM, existe t-il une syntaxe sur #OverpassTurbo pour rechercher des URL qui commencent par un motif donné ?

La syntaxe pour inventorier les éléments ayant une URL étant :

[out:json][timeout:25];
// gather results
nwr["url"]({{bbox}});
// print results
out geom;

TROUVÉ !

["url"~"^mon_motif"]

Ich bin gestern kläglich gescheitert, beim Versuch mir die Stadtgrenze von München in #Bikerouter anzeigen zu lassen.. 🙄
Vermutlich bin ich zu doof für die Syntax von #OverpassTurbo aber andererseits sollte das doch auch viel einfacher gehen, wenn es nur um eine fixe Relation geht:
https://www.openstreetmap.org/relation/62428

@mjaschen evtl. ein Tipp? Anzeige oder womöglich als Vermeidung einrichten?

Getting data from #OpenStreetMap for analysis in #QGIS is both easy and tricky.

For individual items, try the #OSMInfo plugin. Need small extracts? #OverpassTurbo works well.

But what if you need all supermarkets or hotels worldwide? What's your go-to method? Let's discuss! 🌍🗺️