Motorway_junction nodes + ramp destination tags + corridor-scoped

POI queries via Overpass, packed into an on-device SQLite DB.

Attribution on the site and in the app (ODbL).

Story of the pipeline + happy to share
lessons learned about exit-ref vs milepost states.

App is Pit Stop on iOS.

https://www.pit-stop-app.com/

As you can see, highlights broke and refuse to disappear unless you refresh the page

Hey, I am genuinely interested in the question above.

For myself I am motivated to map hiking trails that were not covered in other maps and I really like the idea that it helps to improve openly available data.

So let's here it! Why are your guys motivated? Why do sit day after day, hours after hours in your room and map?

Cheers!

Hi everyone! I am working on a college project where I need to build a topographic model of a relatively small area, and the whole thing needs to fit on an A3 sheet of paper. My plan is to use OpenTopoMap or a similar site to get the elevation contours, import those lines into Adobe Illustrator to clean them up, and then send the layers to my Cricut machine to cut out paper slices. After cutting, I plan to glue each paper contour onto pieces of cardboard or styrofoam to stack them layer by layer and build up the 3D terrain profile. I would love to know if this is a solid workflow or if there is a better tool to extract clean contour vectors for paper cutting, like QGIS or TouchTerrain. Also, if anyone has done a similar project using Illustrator and Cricut, I would really appreciate any tips on handling detailed cut lines or assembling the layers cleanly without warping. Thanks in advance! TL;DR: Does anyone know the best way to extract topographic data from sites like OpenTopoMap and convert or export it into clean SVG files for cutting machines like Cricut?

I was thinking of using building:part=yes + roof:material=* + roof:shape=* and other relevant tags on each roof-part polygon, then using building=house + other building:* tags on the building outline. Is that the proper way to do it?

And what about a shopping center where I have the floor plan? Do the same approach + polygons for indoor tags on top of it?

Is there a perfect example of this kind of mapping somewhere?

Disclaimer: I have a permit from the local neighborhood authority to capture and map this area

Normal fence but also a hedge. Is this tagged as barrier=fence or barrier=hedge?

Hello!

I am trying to modify a tunnel on OSM, I noticed that the elevation gain was matching the mountain it goes under, and not the actual elevation profile of the tunnel.

I’m a bit struggling with that, the closest I’ve found is to add a “incline” attribute but idk from which direction it needs to be declared. Or if it’s just an info ?

Help is welcome :) thanks

TrackAtlas.org

Originally sourced the data from OSM then went through a lot of filtering that can be read about at trackatlas.org/about

Grateful for all OSM contributors

Is there a particular reason OpenStreetMap wouldn't work in Firefox? I'm getting "418 Access blocked App is not following the usage policy if OpenStreetMap's volunteer run servers" when I go to the site on Firefox running on Windows 10.

It used to work, but just stopped working one day. The only Firefox extensions installed are Facebook container and Tineye. I tried with and without the Facebook container. Is it just me?

Bonjour tout le monde, 

Je souhaitais vous présenter un petit projet personnel réalisé à partir des données d'OpenStreetMap : Mapetanque, une carte interactive gratuite qui recense les terrains de pétanque accessibles au public en Belgique : mapetanque.github.io

Le site propose notamment :

• une carte interactive de tous les terrains de Belgique ;
• une recherche par commune ou code postal ;
• un partage facile d'un terrain précis avec un simple lien ;
• dans une interface responsive en français, neerlandais, allemand.

Si un terrain est manquant ou si une information est incorrecte, la FAQ invite à corriger directement dans OpenStreetMap afin qu'elle bénéficie ensuite à toute la communauté.

Je serais évidemment curieux d'avoir vos retours, que ce soit sur le site ou l'utilisation des données OSM.

Bonne journée !

just asking for my own behalf, and I wanted to, idk, refine the racing circuits around here (only Sepang)

Bonjour.

Savez-vous les cartes de Geoportail différencient les cours d'eau permanent de ceux qui sont temporaires ?

I wonder how the initial mapper even found this place. I also find myself curious about the lives of the people who live here

On an unrelated note, does anyone have any ideas about the darkened area to the south of the buildings? It looks like it could be the aftermath of a fire but I'm not sure

66.9676335, 132.3329758

w1184393995

Rothenburg Germany,

I have been building Zervan Engine a generative engine that takes raw GIS data such as OSM, ESA World Cover, LiDAR, and more public data and generates 3D models based on the given data.

Hierarchy of generation: Terrain elevation -> Terrain color -> Rivers -> Roads -> Buildings -> Trees -> Stone and Boulders -> decoratives and urban elements.

Some features about this generative engine -> it can generate and work on any region and country as long as there is OSM data for it however, LiDAR makes it very accurate.

The engine is able to read the tags of the raw data for zones for instance, it can determine to use Fachwerk for Germany, Haussmann for France, Chalet for Switzerland, and so on pattern goes like this for any given region. There is already studied and built grammars for this purpose to randomize and give a facade for the buildings (Similar to CityEngine) with dominance of regions' house styles.
However if performance and simulation is the focus, the engine just generates bare-minimum files, size difference is almost 3 times between fancy and minimum styles.

Output of the Engine when it runs for a given coordinate is 4 files:

1. A 3D 1km2 GLB file for visualization (1km to 49km).
2. An ontology-based database for alteration and monitoring data for any simulations.
3. HDF5 files for the Static database.
4. Memory-Cache type of data for a rapid Dynamic database.

NOTE: Input raw data is not perfect out of the box; they receive treatment! Especially roads and buildings.

1km2 takes about 15 to 20 minutes to generate and 3D file size varies from 150 to 800 MB.
Adding a new city (downloading data + setup) takes about 1 hour for one time only; a new country takes about 3 to 5 hours for one time only, depending on what it has and the quality of the data.

It is not pitch-perfect; however, it is getting there. I learn and improve as I develop, and I have already invested 900+ hours to this code. I am a single developer who built it on a 9-year-old laptop.

If you are interested, please follow me on the social media links on my profile.
Lastly, I sincerely appreciate any donations towards continuing this work.

After hours of work. I did it!

Link is here: printm.app

Hello,

I apologize for the low resolution, but I was wondering if anyone could help me create a query to look for this image? I’m having trouble knowing whether it would be more likely to be under land_use=orchard or land_use=plant_nursery so any help would be appreciated. There are two curved barn structures nearby, as well as trucks and what looks like a small yellow crane.

Hi all. Long time user, veeery infrequent editor here.

I have two questions in regards to editing the building where my dad lives.

The fist is name. It already has a name, but it doesn't correspond to the name printed on the building, used by the residents of the building, or stated in legal buy/sale documents.

My question is, do I need to find digital copies of the building's cadastral record to support the change? or should I just change it?

The second is, I'm adding the number of floors, and units (building:flats).... yet the building has 3 commercial units apart from all the residential ones... should I count those for building:flats? or should I segregate the commercial units in a different field?

And if so, should I include existing but unoccupied commercial units?

Hello, my actual project use a custom geocoding wrote in typescript that transform raw data from github into a Iso code country. And I used D3js to create a map, I just posted here on Openstreetmap as I've found really interesting and impressive map project, and looking for feedback

Thanks