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Gazirchat Munshipara Darul Ulume Madrasha & Eatimkhana গাজীরচট মুন্সীপাড়া দারুল উলুমে মাদ্রাস & ইতিমখানা

hey! wouldn’t be shocked if im only one of a handful of new canadian users trying to take a step away from google maps. i downloaded comaps earlier today (which uses openstreetmap) and noticed a handful of stuff in my little town is missing or out of date. so why not be the one to contribute?

im short on time this week (and there’s some awful rain right now) but i think sooner or later im going to take a stroll through town and update everything i can. it’ll be a lot more fun than just cross-referencing another map.

Party time!

This weekend, I was at State of the Map 2026, the international OpenStreetMap conference, which took place in Paris this year. Here’s a brief, personal feedback and a round-up of a few presentations that stood out for me. You can also find all the videos at https://peertube.openstreetmap.fr.

NB: there is a French version here. This one was translated with the help of DeepL translate.

The most inspiring: cartes.app

Inspiring: cartes.app is a slightly mad project aimed at creating a new Google Maps, but without its car-centric bias. It started with a single contributor, but he’s managed to build a strong team around him: he has the insight to use the best open-source software components for his project – MapLibre for map navigation, vector tiles for map rendering, Photon for geocoding, and Transitious for public transport. Today, the developer is no longer working alone: he is securing funding and attracting contributors from around the world to improve his app and translate it so it can reach a global audience. It’s a wonderful project worth supporting, and you can do so by subscribing to cartes.app premium for just €1 a month.

The clearest: Use of OSM data by emergency services in Germany

A clear, practical and positive presentation by a contributor who is himself a member of a volunteer fire brigade. There is no longer any need to demonstrate the value of OSM to the emergency services: according to him, the use of OSM is widespread and extensive amongst German emergency services – as a base map, for specialised route planning, and for cartographic products in situation rooms, etc. A motivating call to contribute local knowledge to OSM: an unofficial address number displayed on a house number plate, the former name of a café still used by the local population, local place names, and of course all the information useful for lorry navigation: maximum width, bollards, etc.

The most surprising: How OSM inspire European standards for cycling infrastructure

… See full entry

todo bonito

Está actividad me permitió conocer más mi barrio y dar a una ubicación exacta la cual es muy factible porque así llegó a una ubicación exacta y me evita confundir la ubicación

so we have gotten a few questions about the project, mostly present in the first diary post we have made, but here we wanted to state a few basic things as a foundational- idk, statement so to say.

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firstly, what are we actually doing and why?

so one night, at a random hackspace on the 25th of august, we were bored. and so with that boredom, we decided to fix something that had been annoying us for a long time; nearly every train station in germany that is not a transfer station, and honestly a lot that are!, are missing basic information about their track numbering, as well as generally just having a low quality of track and platform geometry (likely because most of that was put in automatically and no one bothered fixing it)

very quickly we realized, putting the exact sources (which, to be fair were more for reference than actual sourcing) into every single commit, of which there is at least one changeset per train station, was extremely tedious

so we made a post “hey we’re doing this thing”, to then go and have a way to simply refer to that project in the changeset commits, instead of the exact sources every single time.

this, has already gotten the attention of a few others on here, which honestly is both surprising, and humbling, as well as very motivating.

we are doing this, we will not stop doing this until we are done :3

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secondly, how actually is information being sourced?

so this is fairly simple, but also very important to mention; while we have listed Bahnhof.de as a source, which at the time we did not realize could even theoretically be an issue, we technically did not even use it as a source- it simply is a good way to double check our work and to shove a url into the source field of our commits

in reality, here’s our source (in a sense); https://umap.openstreetmap.de/en/map/arson-railing_57214#7/51.075920/11.107178

… See full entry

Σήμερα έκανα λήψη 12 αρχεία gpx από τον εξειδικευμένο ιστότοπο του Δήμου Μεγίστης kastellorizotrails.com και προσπάθησα να τα προσθέσω στο openstreetmap.org. Η διαδικασία ολοκληρώθηκε κανονικά, προσθέτοντας τα αρχεία ένα ένα από το web interface, αλλά μόλις τελείωσα δεν εμφανιζόταν κανένα αρχείο στο μενού Τα ίχνη μου. Θα περιμένω 1-2 μέρες και θα το ξαναδώ. Έχω την εντύπωση ότι ίσως η ταχύτητα αποστολής των αρχείων να ενεργοποίησε κάποιο φίλτρο προστασίας.

I’m supposed to write a full report about my attendance at State of the Map 2026. But there are so many materials to discuss, especially the technical ones, and I’m already still stuck on day one already.

If you check my latest OSM Diary entry in my State of the Map 2026 series, you’ll see that my writing stopped rather abruptly at Jake Low’s talk, titled “Sourdough and Layercake.”

It was a very interesting talk. In fact, while watching it live through the Venueless platform, I had already started thinking about some projects that I wanted to build on top of Sourdough.

So instead of continuing to write that report, I started tinkering with Sourdough immediately.

The cool thing about vector maps is that they are so easy to customize on the client side. We can selectively show some data layers and hide the rest. We can emphasize one aspect while pretending that everything else is “not important” and simply not showing it at all. And I think that’s quite a powerful concept.

… See full entry

Mapear en OpenStreetMap es dibujar el mundo real para que todos lo puedan usar.

1. Observas: Sales, miras a tu alrededor o usas fotos satelitales libres.
2. Dibujas: Pones un punto, una línea o un área en el editor (como iD).
3. Etiquetas: Le dices qué es con etiquetas, por ejemplo amenity=cafe o highway=residential.
4. Guardas: Tu aporte ya queda en el mapa global, libre y verificable por todos.

Empieza por lo que conoces: tu calle, tu tienda, tu parque.

How this started

A researcher from Puerto Rico reached out to me with a question about sub-national population figures in Iraq. While trying to help, I realised something surprising: although Iraq had conducted its first full population and housing census in decades — the 2024 Iraq Census — those population figures had not been mapped onto the administrative boundaries in OpenStreetMap. The data existed and was public; it simply had never been connected to the polygons.

This diary documents the work of closing that gap, from the national level down to district (qada) level, and — just as importantly — it records why some of the numbers on the official Arabic source do not line up one-to-one with the population now tagged on OSM polygons. If you are comparing the source document against OSM and something looks off, this entry is meant to explain it.

Primary source

The governorate and district figures come from the published 2024 census results:

https://alssaa.com/post/show/43032-iraq-2024-population-census-results-for-the-governorates

The page is in Arabic and lists each governorate’s total and a breakdown by qada (district). I worked from this document throughout. Where I refer to a name by translating it from the Arabic source, I put the translation in quotation marks — the official/authoritative spelling is the Arabic one, and I don’t want to imply my English rendering is canonical.

The guiding principle: population follows the polygon

The single most important decision in this whole exercise: each population figure was tagged onto the OSM polygon that geographically contains that place — not necessarily onto the governorate or district the census table lists it under.

… See full entry

What an event.

The local community prepared a really nice venue with a surprising Guest as entertainment as well as really tasty snacks. Well done.

I should have asked on the first day so now it’s just some thinking: Was there no way of getting better ventilation into the rooms at the university? But as I said, it’s now too late and I won’t linger on that any more.

More thoughts are still to come.

After a few “shakedown cruises” with the Max2 I began collecting imagery in earnest in August, and learned a few lessons.

1. Massive 10Gb files overwhelm older MicroSD-to-USB card readers. I struggled to copy the .360 files from the SD card to my desktop computer’s SSD drive, and resorted to Disk Drill (sometimes worked) and Roadkill’s Unstoppable Copier (sometimes worked) to copy them when copy, xcopy, and the Windows copy utility failed. I asked GoPro if it could identify the problem. When GoPro asked if I had tried a different card reader, I blew $7 on a new one rated USB-2 and it worked without problem. Issue solved, and something learned–just because a piece of hardware worked flawlessly for a decade doesn’t mean it will work today with the larger file sizes inherent to 360-degree imagery.

2. The battery lasts about 2 hours or less and a 64Gb SD card fills up in about 2 hours. Letting the camera battery die while filming is a headache, because the file isn’t closed properly. This is where Disk Drill came in handy to repair it so it could be copied and uploaded to Mapillary. A similar issue appears if you run out of storage. I blew $99 on a 256Gb SD card to avoid running out of space and put my wife in charge of monitoring battery life on the Quik smart phone app. Her reward for this is lunch at restaurants we have discovered while collecting imagery.

3. The Max2 can be toggled between collection at 5.6K and 8K resolution. I have experimented with both. Mapillary recommends 5.6K video at 30 frames per second but I have found that this makes reading house numbers difficult to impossible, and signage of businesses becomes very iffy. When experimenting with 8K resolution, I found both house numbers and signage become clearer and thus readable for addition to the OSM database. The tradeoff is file size, which quickly becomes an argument for a larger SD card (the Max2 can accommodate up to 1 Tb if you are willing to spend the money).

… See full entry

Salut

Une belle personne m’a parlée de QuackOSM quand je lui faisais part de la difficulté d’installer un serveur Overpass-API pour faire des requêtes en locales sans charger les serveurs communautaires.

Alors j’ai essayé … Et ça déchire de simplicité. 🤩

📢 ATTENTION: la doc est explicite : relations must be of type boundary or multipolygon. Il y d’autres contraintes, ce sera donc à voir selon les besoins …

Comme QuackOSM est un module Python et que je m’y perd tout le temps j’ai utilisé uv. QuackOSM se charge du téléchargement des fichiers PBF par exemple sur GeoFabrik OpenStreetMap Data Extracts.

Il suffit donc d’une seule ligne :

uvx --from 'quackosm[cli]' quackosm \
 --osm-extract-query France \
 --osm-extract-source geofabrik \
 --working-directory ./ \
--ignore-cache \
--cpu-limit 8

Ou si vous avez déjà le fichier “france-latest.osm.pbf”

uvx --from 'quackosm[cli]' quackosm france-latest.osm.pbf \
 --ignore-cache \
 --cpu-limit 8

Pour obtenir le fichier “geofabrik_europe_france_nofilter_noclip_compact_sorted.parquet” (9 Go) au format GeoParquet.

À noter:

• l’extra quackosm[cli] pour éviter “ModuleNotFoundError: No module named ‘click’”
• Au premier appel, uv télécharge et résout les ~40 dépendances (duckdb, pyarrow, numpy, shapely, etc.) et les met en cache localement

En suite on peut utiliser DuckDB pour faire des requêtes sur des objets OSM.

Par exemple avec l’outil de bureau DBeaver on créer une connexion DuckDB (le driver est téléchargé automatiquement), on ouvre une console SQL sur la connexion et :

… See full entry

(Пост написан без использования ИИ)

Песок, вода и вид

Нормальный песок, без мусора. Вода тёплая, но после чистая только утром и в обед. Виднееться остров Тафос.

Транспорт и парковка

… See full entry

According to my personal schedule, I was supposed to attend the Guadeloupe room at around 14:50, for a talk titled “State of Panoramax.”

But in reality, the opening speech was still continuing at least until 15:02, and I had to sign out at 15:16.

I managed to finally come back at around 15:56, but by that time, the Guadeloupe room was already empty.

I managed to access the “traces of discussion about the talk” that were still left behind in the Venueless chatbox.

Someone asked this question at 15:21: “Question for Panoramax: What’s your take on privacy. Even with blurring, by having people take photos across a wide time range, AI will be able to deduct when someone was at home, where certain cars were parked and so on, revealing lots of personal info. Is that a good thing that we want to support?”

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I have known Panoramax for a long time.

While editing WeeklyOSM’s entries, I frequently received news about their releases and updates. I also happened to learn about updates regarding Baba, a mobile app for contributing to the Panoramax project, because of my activity with WeeklyOSM.

But recently, I finally installed Baba and uploaded photos to Panoramax for the first time, thanks to someone’s suggestion on c.osm.org. I documented the whole train of thought behind this decision in this Mastodon thread.

The real reason was my realization that photographs uploaded through StreetComplete’s note feature are temporary and are going to be deleted soon. I wanted something similar, but permanent. Someone on c.osm.org – I forget who and in which thread – suggested using Panoramax instead. I tried it, and it worked.

Even so, at first, I had quite a hard time finding the right Panoramax instance, because most of them are limited to specific geographic regions, and my country is not listed.

… See full entry

Muy bien planteado, se realiza con mucha facilidad y se puede encontrar muy rápido para el destino deseado, excelente opción

Whenever I run, I carry a GPX device to track my route. Over time, I’ve collected a large set of personal GPX traces. It made me realize that this personal dataset isn’t particularly valuable when I look at individual traces, but it can be made useful once I’ve collected multiple traces over the same city neighborhood. The problem is that I have no idea where OSM ways are missing. This sounds like a great use case for aggregated personal data, because you tend to run the same streets most of the time. The basic idea is very simple: split GPX files into smaller segments, cluster them, and check whether each cluster maps to a known path or street in OSM. Then create an OSM extract for the new paths, along with the original GPX files, so that edits in JOSM are faster. It works! The slow part is making the edits, but at least you are aware of where OSM is incomplete in your neighborhood. The source code is on GitHub

– Portuguese below  

DO THE RIGHT THING AND RECEIVE GOOD IN RETURN: THE ETERNAL CYCLE OF CONSTRUCTION

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First Moment - That was the question: to attend in-person the SotM 2026 Paris or to support groups in Africa?

Around the same time that the organizers of State of the Map 2026 were offering early-bird tickets for the OpenStreetMap global community event, I was approached by groups of mappers from Africa, asking my company to support (as a sponsor) the initiatives they were planning, focusing in mapping features that were important to them and their community, based on their local realities.

So, rather than spending our resources on a sponsorship for the SotM 2026 event and attending in person in Paris, we decided to support three groups of young mappers from african countries: Cameroon, Kenya, and Ghana.

CityMapper Externship: Urban Street Level Mapping by the UN Maps Community Ambassador Initiative Cameroun - Link

UN Mappers Kenya Youth Climate Mapping Externship 2026 by the UN Maps Community Ambassador Initiative Kenya - Link1 and Link2

First 2026 mapathon by the YouthMappers UEW (Ghana) - Link 1 and Link 2

… See full entry