#overpassturbo — Public Fediverse posts

Der PNG-Export von #OverpassTurbo funktioniert offenbar wieder, produziert aber zum Teil Ergebnisse, die nichts mit der Ansicht in der Karte zu tun haben 😕
#OSM #Openstreetmap

It is possible to use something like this in OverpassTurbo
{{data:sql,server=http://localhost:8081/}}
Which is nice because I can now query my own #postgis database using the OverpassTurbo UI.
Did not find out how to do this in Overpass Ultra yet. Likely also possible.
#openstreetmap #postposs #OverpassTurbo

Laut Info im Blog von Kristian Antic sollte es in Kroatien 290 Hundestrände geben.
https://kristijan-antic.blog/urlaub-mit-hund-an-der-adria-ein-paradies-mit-ueber-290-hundestraenden-in-kroatien/
Hab hier zwei #overpassTurbo Abfragen erstellt für natural=beach und leisure=beach_resort jeweilis mit dog=yes für das Land Kroatien. Ganze 31 finden sich dort. Das ganze noch Visualisiert auf einer uMap. Entweder gibt es noch viel zu tun auf Openstreetmap oder meine Abfragen sind irgendwie fehlerhaft bzw ich hab irgendwas vergessen.
https://umap.openstreetmap.de/de/map/dog-beach-croatia_150422
https://overpass-turbo.eu/s/2uGu
https://overpass-turbo.eu/s/2uGv

Also wer gerade in Kroatien im Urlaub ist....🐕 oder sonst irgendwie helfen kann.

#OSM #Openstreetmap #Dogbeach #Hundestrand #Kroatien #Croatia #KroatienmitHund

(Reposted because of a problem with the link preview.)

Inspired by some stealth camping YouTube channels, I thought it might be useful to know a few locations around the city that might be suitable for a quick single night camp for when there's no time for a proper camping trip in nature/out of town, so I fiddled a bit with Overpass Turbo. And because I'm now a proud owner of my very own blog I thought I'd write about it so people can read it if they really want to.

https://gollyhat.ch/stealth-camping-with-overpass-turbo/

#camping #overpassturbo #openstreetmap #blog

I’m traveling at the moment so i often find myself pulling my laptop out on the train where internet is patchy.
So I’ve found myself setting up more stuff to work locally.
Thats how I found myself trying to compile and run a local copy of the Overpass API for querying open street map data… on a Mac. I’m typing this on my phone from memory so will provide references and corrections later when back at my laptop. #OSM #overpass #overpassturbo #overpassapi #openstreetmap

TIL Es scheint mit #OverpassTurbo gar nicht möglich zu sein, einen Kreis mit einem Radius um 1 km um gefundene Objekte zu zeichnen. Man kann nur einen Kreis mit einem Radius in Pixeln "zeichnen", die man irgendwie in Meter umrechnen muss (ist von der OSM-Zoomstufe und vom Breitengrad abhängig)

#OSM

@umwelthilfe.bsky.social

bekommen wir dafür eine #overpassturbo query hin?
Straßen mit maxspeed > 30 in Stadt/relation x.

Und schon ist die Liste fertig 😂

#openstreetmap

#TIL about this awesome interactive tool to explore toponyms in #GreatBritain called Grep Britain. 🇬🇧

https://conradgodfrey.com/grep_britain/

(And for anything more complex and worldwide, there’s #OverpassAPI via #OverpassTurbo or #OverpassUltra using #OpenStreetMap data.)

#maps #Mapstodon #gischat #UnitedKingdom

#Geodaten und deren Veranschaulichung beim #barcamp des #HessenForum25
Natürlich nicht ohne Werkzeuge wie z.B. #osm #umap #OverpassTurbo und co.

Solved!
Is there a way to take a gpx with lots of separate, small tracks in it, and convert those tracks into separate POIs instead?

I've done a search in Overpass Turbo for farmyards. They are marked in OSM as areas, so if I search for nodes I get 0 results. I have to search for ways, but they get exported as tracks. And I just want a gpx with them as POIs.

Can I convert this, so I go from a gpx with lots of lines to just one point pr separate track?

#gpx #OverpassTurbo #OpenStreetMap

Habs perfekt hinbekommen:
Es braucht eine Liste der PLZ (die ich schon hatte). Für jede PLZ habe ich den Ausdruck / eine Zeile gebaut für #OverpassTurbo :
rel[postal_code="80331"];out geom;

Alle zusammen ausführen, und als geojson exportieren.
In #uMap wieder importieren und den Style etwas anpassen, fertig.
Danke für eure Tipps! #fedipower #osm :awesome:

Latest #Ramblers magazine has an item on the number of stiles on #PublicRightsOfWay in England and Wales. They used #FreedomofInformation requests, presumably from each Highway Authority, for the data. Grand total comes to around 140,000, or around 1 per mile of PRoW.

#OpenStreetMap has just over 82,000 as of today (#OverpassTurbo query: https://overpass-turbo.eu/s/2cFH). Not all of these will be on public rights of way, but between 50 and 60% of the total isn't bad. (Wales only represents ~5-6%).

Boulodromes au nord de l'Italie sur #OpenStreetMap : apparemment, on y joue surtout au bord de la mer, le long de la via Emilia et en allant vers la France 😌 (carte générée avec #OverpassTurbo : https://overpass-turbo.eu/s/2crC)

omfg es gibt so tolle Dinge für/mit #openstreetmap .

Hier: #OverpassTurbo mit dynamischer Abfrage, wo jemand den (hierzulande invasiven) #Götterbaum (genus #Ailanthus) gesichtet hat.

(Auf Zielgebiet einzoomen und links oben "ausführen" klicken.)

https://overpass-turbo.eu/?key=genus&value=Ailanthus&template=key-value

I think one of the reasons that I've been doing this (subconsciously) is to avoid burnout on larger mapping projects that I have an interest in (like my project to map my home town in#SouthAfrica).

More recently, I came across an OSM Diary that showed how many street names in OpenStreetMap don't have `name:ga` in #ireland (which I found very interesting). So now I've got an #OverpassTurbo query setup to check for this so that I can add places when I'm in the area.

🧵2/x

Grenzen der Postleitzahlen in Berlin Kaulsdorf und Mahlsdorf, muss man offenbar manchmal auch nicht verstehen.

#Berlin #OpenStreetMap #OverpassTurbo

https://overpass-turbo.eu/s/29jX

Saint-Georges-d'Oléron, 570 piscines. Soit une pour 7,1 habitants.
La mer est trop loin ....
#openstreetmap #overpassturbo #piscines #bouéecanard

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)

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

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

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! 🌍🗺️

If you’ve been querying our data using https://openhistoricalmap.github.io/overpass-turbo/ , please note that this is a development version of the site that is subject to occasional instability or bugs. The official instance of #OverpassTurbo is at https://overpass-turbo.openhistoricalmap.org/ For more powerful visualizations, you can also use #OverpassUltra at https://ohm.overpass-ultra.us/

Pas moyen de remettre la main dessus, j'avais vu passer des requêtes #OverpassTurbo pour rapidement aller piocher sur #OpenStreetMap des données genre les aménagements cyclables, et mettre en évidence une zone tampon autour. Un peu d'aide ? C'est du CSS basique mais ça dépasse mes compétences, et pas envie de sortir QGIS pour ça

For details about the #spaceports, use #OverpassTurbo https://taginfo.openstreetmap.org/tags/aeroway=spaceport 👉 https://overpass-turbo.eu/?w=%22aeroway%22%3D%22spaceport%22+global&R

...or #OsmAnd on your #mobilephone 📱 (got them as #POI) https://f-droid.org/en/packages/net.osmand.plus/index.html

#OpenStreetMap #database

The Bing ML buildings data is from this GitHub repo and first released in 2022: https://github.com/microsoft/IdMyPhBuildingFootprints

I used the following tools/services:
▪︎ @geofabrik for the OSM buildings
▪︎ #OverpassTurbo for extracting clipping polygons from OSM
▪︎ Osmosis for filtering the OSM buildings
▪︎ @qgis #QGIS for GeoJSON clipping and data conversion
▪︎ A couple of hand-coded Perl scripts for data manipulation
▪︎ #TurfJS
▪︎ #LeafletJS for rendering
▪︎ H3 for hexbinning
▪︎ @GIMP #GIMP for final map prep

🧵 3/4

Data and image sources:
▪︎ #OpenStreetMap (ODbL 1.0) for the basemap (via CARTO Positron) and diocese boundaries
▪︎ #Wikidata (CC0) for the cathedral coordinates
▪︎ #Mozilla (CC BY 4.0) for the church icon
▪︎ Diocesan coats-of-arms from https://commons.wikimedia.org/wiki/Category:Coats_of_arms_of_dioceses_of_the_Philippines

Tools used:
▪︎ #OverpassTurbo for extracting OSM data
▪︎ HTML5 + #Leaflet for map rendering
▪︎ #GIMP for final composing and labels

🧵 2/2

@Incognitim Don't wanna wait for Tarrant County to upload a map? Have no fear! I added the data to #OpenStreetMap #OSM and used #OverpassTurbo to plot it.

Query: https://overpass-turbo.eu/s/1R7e

#uspol #DFW #FortWorth #Tarrant #TarrantCounty #TarrantCo #GIS