Aaaand now I've fleshed out the data in the map with proper tags.
Overpass-turbo query here: https://overpass-turbo.eu/s/26uS
Aaaand now I've fleshed out the data in the map with proper tags.
Overpass-turbo query here: https://overpass-turbo.eu/s/26uS
@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/
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.
By popular demand, here's a map showing the Netto Marken-Discount / Netto distribution within Germany.
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.
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?
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:
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
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
@anneroth Ein Bekannter sucht immer mit #overpassturbo in der #openstreemap. Das scheint sowas und viel mehr zu können, aber leider kenne ich die Syntax nicht, sorry.
https://overpass-turbo.eu/
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
The Bing ML buildings data is from this GitHub repo and first released in 2012: 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.
L'anno scorso mia moglie per #ferragosto voleva fare un pic-nic, ma non conoscendo bene la zona dove ci trovavamo, mi affidai ai miei potenti mezzi #opensource .
Grazie a #openstreetmap e #overpassturbo ( https://overpass-turbo.eu/ ) usando il tag [amenity=bbq] all'interno dell'area visualizzata sulla mappa, mi apparvero tutti i braceri.
La POTENZA DELL' OPENSOURCE mi ha salvato il Ferragosto.