I was interested in finding walkable areas in a city I had never visited before. After using OpenClaw bot to summarize my JSON files, I thought I could do the same for OSM-based metrics.

I started by generating an OSM extract with a 5km radius from my hotel. I then extracted the geometry and tags for every way, park, building, and tourist attraction in this area. I normalized the raw data into a handful of generic classes like “Food & Café” and “Nature / Quiet.”

I then assigned each way and point of interest to an H3 hexagon. I calculated aggregate metrics for each hexagon, like the length of roads and the area taken up by parks and water. Then I simply fed the metrics for the hexagon to Ollama with Mistral Nemo, asking it to generate a short one-sentence vibe of a place based on the collected metrics and label it as positive, negative, or mixed.

To visualize the results, I created a KML file and imported it into Google My Maps. I had to iterate on the LLM prompts, as there are a lot of fields in the generated JSON and the LLM struggles to interpret what the numbers mean.

I also discovered a number of bugs in how I calculate features per H3 hexagon, but I eventually arrived at a reasonable overlay showing how walkable each area is. It’s not perfect — partly because OSM data is incomplete for the area I picked, and partly because I need to make my prompts more specific.

The recommendations are generic, but they add an extra dimension to the map. I think this is really exciting because you can create any perspective you like on OSM data with your own overlays for driving, finding a house, or finding a place to eat.

Hallo allerseits,

ich bin dabei, in Südfrankreich in einem Waldgebiet neue Wege zu kartieren. Die Wegpunkte habe ich mir als GPS- bzw. UTM31-Koordinaten notiert. Aber um sie auf der OSM-Karte an der richtigen Stelle einzutragen, bräuchte ich eine Karte mit Gitternetzlinien (am besten im Abstand von ca. 10-100m). Wie geht das? Danke! Martin

At the suggestion of a friend, I decided to install StreetComlete and give OpenStreetMaps a try. I’ll be adding data as walk and bike and hike around the area.

From February 21th to April 23th I spend 192 extra hours on iD and iD tagging schema, thanks to funding from OpenStreetMap Foundation. This grant is now complete and I want to report on progress made thanks to it.

And I want to also thank for other help:

• Kyℓe Hensel (k-yle) and Martin Raifer (tyrasd) for multiple meetings to process found PRs/issues (as some actions required consultations or can be taken only by maintainers)
• authors of pull requests, for preparing code - I also want to thank all people who made good faith contributions but where PR were either sadly closed without merge for some reason (or are not yet processed at all - sadly many are still waiting)
• authors of various useful issues
• people who provided feedback by reviewing - github, on forums
• special thanks for language advise to Brian Sperlongano (ZeLonewolf) and Minh Nguyễn (1ec5) and others
• everyone else who helped

Here is list of pull requests and issues that were processed during that time, with very limited commentary. I will post also report on forums with more commentary and without detailed listing of issues and PRs.

I want to mention also that substantial design and review work was spend on schema builder to unblock its release. Work on including relation structure knowledge into tagging schema[1][2] took hours, but is not listed below as this PRs are not yet merged. Though it is getting closer now that blocker was resolved.

Disclaimer: I took these notes while working and looked over for mistakes before publishing (fixing some), but I have not tripple checked everything. If you see a mistake, please let me know.

I tested and reviewed this changes prepared by others, recommended changes to be merged and it was followed by maintainers:

… See full entry

Часто у энтузиастов проблема - каждый по своему добавляет обьекты. Могу привести примеры с профилями: Toli99 - лююююто парится над добавлением, но иногда косячит тем, что подсматривает на гугл карты где не всегда дома отмечены, а точки в разброс. excfs - тоже красавчик, но добавляет менее детально, обчыно делает всё по спутниковым снимакам бинг, всё, только устаревшие спутниковые снимки, иначе я не могу обьяснить что на более новом полотне спутниковых снимков на картах допустим видно новый обьект, но в местегде он работал это по неизвестной причине не добавлено. Хотя он всё равно такой же энтузиаст.

Они друг с другом не контактируют и друг другу не мешают, но это идеальная битва энтузиастов - кто прав?

В многих добавлениях 2-х летней давности часто в паке добавлений пишут оскорбления другим энтузиастам из-за того что что-то не поделили. В этом и проблема. Сейчас из новых я такого не видел среди энтузиастов котоыре промышляют в Харькове. А что на счёт тех же полтавских или киевских? Там ужас! Слияние двух языков выделяют сильный эффект торнадо. Обычно все сходятся на просто отметке “как будет название на разных языках” (что не всегда решает проблему), но вы прикиньте упёртых.

Так вот, что я хочу сказать энтузиастам и просто людям которым стало интересно - не конфликтуйте. С помощью вас! Да-да! Именно вас! Карта настолько детальная, споры часто делают не тот эфект, да, кто-то добавляет по своему. Главное что он добавляет настоящее!!!

Salom! Xarita hamjamiyatida yangi nuqtalar va binolarni qo‘shish bilan shug‘ullanayotgan foydalanuvchilar uchun o‘z tajribamdan kelib chiqqan holda bir nechta amaliy tavsiyalarni bo‘lishmoqchiman.

Xaritaga biror joyni (do‘kon, bekat yoki tashkilot) kiritishda quyidagilarga e’tibor berishni maslahat beraman:

Joylashuvni qayta tekshiring: Nuqtani qo‘yishdan oldin koinotdan olingan suratlarni (yo‘ldosh tasviri) haqiqiy holat bilan solishtiring. Ba’zida suratlar biroz siljigan bo‘lishi mumkin, shuning uchun ko‘cha chiziqlari bilan mosligiga qarang.

Ma’lumotlarni to‘g‘ri tanlang: Joy nomini yozish bilan cheklanmasdan, uning vazifasini ham aniq belgilang (masalan: dorixona, savdo do‘koni yoki o‘quv markazi). Bu qidiruv tizimlari xaritadagi joyni oson topishiga yordam beradi.

Ishonchli manbalarga tayaning: Nomlarni yozishda o‘sha joydagi rasmiy belgilarga va ishonchli manbalarga tayaning. Masalan, biz ham o‘zimizning ob-havo-uz.com portalimizda hududlar bo‘yicha ma’lumotlarni shakllantirishda aynan aniq manbalar va ma’lumotlarga asoslanamiz.

To‘g‘ri to‘ldirilgan xarita — hamma uchun foydali! Agar sizda ham xaritani mukammallashtirish bo‘yicha savollar bo‘lsa, izohlarda qoldiring, birgalikda o‘rganamiz.

I’m currently in England and have been focusing much of my mapping on improving coverage and detail across the UK. This includes refining road classifications, updating POIs, checking alignments, and making sure tagging stays consistent with current conventions. I try to ground edits in available imagery, local knowledge where possible, and existing community practices.

Alongside that, I’ve been contributing to mapping efforts in parts of Africa. In many of these areas, even small additions like connecting road networks, adding missing settlements, or improving basic infrastructure data can make a meaningful difference for map usability. I’ve been working through tasks such as validating road geometry, adding surface and access tags where appropriate, and helping expand coverage in places that are still relatively under-mapped.

I’m also interested in maintaining data quality over time, not just adding new features. That means reviewing older edits, resolving inconsistencies, and occasionally revisiting areas as better imagery or information becomes available. Consistency in tagging and structure is something I try to pay attention to, especially when working across different regions with varying mapping styles.

Going forward, I’ll continue contributing where I can, both locally in the UK and in regions that benefit from additional mapping support. (i only got into mapping cuz i was bored as i cant play video games… for some reason)

(Made by chatgpt which is why it sound awkward, i just told it my info and it made this) thank u to all who actually read these…

I am quite new and becuz i am unable to play any games i spend some free time doing this mapping ‘game’ as I first thought years ago and then I made account and learned about how to do OSM properly and efficiently and I think it’s good to learn some tech thing.

I map places in UK and also Africa where it is more important to navigate around, and there is large areas of undermapping. (anyway this is useless but whatever its just introduction..

İzmir’de belli bölgelerde karşılaştığım bir durum var. Özellikle caddelerde ve ana yollardaki yaya geçitlerinin ortasında hissedilebilir yüzey benzeri bir zemin uygulaması fark ettim. Örnek vermek gerekirse Ege Üniversitesi içindeki birçok yaya geçidi ve Bornova ile Bayraklı’daki caddelerdeki yaya geçitlerinde bu durum söz konusu. İzmir’in diğer yerlerine o kadar hakim olmadığım için onlarla ilgili söyleyebileceğim bir şey yok.

Şimdi bu uygulamaların erişilebilirlik açısından önemi büyük. Bunu inkâr edemem. Fakat işin bana ilginç gelen iki yönü var. Birincisi, bu yüzeyler plastikten veya sert bir malzemeden yapılmamış. Tam emin olmamakla birlikte sadece biraz kalın olacak şekilde sarıya boyanmış gibi bir hissiyatı var. Yani görüntü olarak orada var ama görme özürlü bir birey bunu göremeyeceği ve hissetmesi gerekeceği için işlevli olduğunu söyleyemem. Bastonu olan görme özürlü bir birey değilim ama en azından ayakkabılarımla hissedebildiğim kadarıyla hâl böyle.

Bahsetmek istediğim ikinci şey ise bu zeminler yalnızca yaya geçitleri üzerinde bulunuyor. Yani yaya geçidinin iki yanındaki kaldırımlarda hissedilebilir yüzey bulunmasa da yaya geçidi boyunca bu yüzeyler mevcut. Yani sanırım insanların yaya geçidine kadar kalp gözünü kullanarak yol bulduğunu ancak yaya geçidine gelince bu zeminin yol göstericiliğine muhtaç olduklarını düşündü bunu planlayan ve uygulayanlar. Böyle bir şeyin izahı olabilir mi? Şahsen benim aklım ermiyor.

Bilemiyorum Altan, bilemiyorum…

hi

If you’ve been surveying the OpenStreetMap (OSM) map notes in Indonesia, you’ve likely encountered a wave of “spam” or irrelevant notes. These aren’t usually malicious; rather, they are often misplaced private memos from third-party mobile applications that use OSM tiles.

Users often mistake the “Add a Note” feature for a personal notepad or a private “Save Location” tool. Some of these notes are even remnants of data synced from apps nearly a decade ago.

Why is this happening? Many apps integrate OSM. Users see a “Notes” button and assume it’s a private diary for their travels.

This list of spam keywords is not exhaustive. I will continue to update this diary entry as new patterns emerge from the Indonesian mapping community.

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Jika Anda melihat catatan peta OpenStreetMap (OSM) di Indonesia, kemungkinan besar Anda akan menemukan “spam” atau catatan yang tidak relevan. Memo tersebut sering kali merupakan memo pribadi yang salah tempat dari aplikasi seluler pihak ketiga yang menggunakan tile OSM.

Pengguna sering salah mengira fitur “Tambahkan Catatan” sebagai catatan pribadi atau fitur “Simpan Lokasi” pribadi. Beberapa catatan ini bahkan merupakan sisa data yang disinkronkan dari aplikasi hampir satu dekade lalu.

Mengapa ini terjadi? Banyak aplikasi mengintegrasikan OSM. Pengguna melihat tombol “Catatan” dan menganggapnya sebagai buku harian pribadi untuk perjalanan mereka.

Daftar kata kunci spam ini tidak lengkap. Saya akan terus memperbarui catatan harian ini seiring munculnya pola-pola baru dari komunitas pemetaan Indonesia.

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Gojek hari ini
Grab map
hp hilang
kediaman
tempat tinggal
Rumah Keluarga
rumah pak
rumah bu
rumah ... #mapsme
pak rt
pak rw
pak lurah
's house
's home
"ok"
Tetapkan titik alamat disini
Tetapkan catatan sesuai dengan titik alamat disini
cheap food
My Project
lokasi pekerjaan
lokasi survei
lokasi survey
Lokasi tanah
lokasi lahan
tanah dijual
lahan dijual
Not so nice
ini alamat yang benar
lokasi 1

I have been completely inactive for over a year but I’m trying to pick myself up and keep mapping. I’m very rusty due to the fact that I’ve been inactive but i believe I’ll improve in due time!

My Introduction to OSM at Unique Mappers Network Author: Victory114 | Date: 21st April 2026 | Location: Unique Mappers Network, UNIPORT Mall, Port-Hacourt, Nigeria Language: English

Setting The Scene.

I was introduced to Unique Mappers Network (UMT) by my mentor; an Environmental Consultant, CEO, lecturer, and Engineer, Engr. Andrew John. He informed me about a call for applications that had been advertised on LinkedIn on the 26 February 2026. With only three days to apply, I seized the opportunity with much excitement. It was a chance to utilise and build on my knowledge and skills in GIS. I submitted my application and was delighted when UMT accepted me. I was then invited to visit the headquarters in Port Harcourt, Nigeria, for an interview and induction.

Arriving At UMT.

I arrived at UMT headquarters for the first time filled with excitement and curiosity. The National Coordinator, Dr Victor, interviewed me and gave me a thorough induction on what to expect during my time with the organisation. I was later added to the organisation’s group chat and had the opportunity to ask questions and learn about UMT’s excellent achievements, including their international engagements in Paris and Romania, OSM conference and State of the Map. I was impressed by Dr Victor’s depth of knowledge and experience in GIS, training, and event coordination. From that first conversation, I felt assured of the quality of guidance that would be available to me throughout my internship.

How I Found Unique Mappers Network.

… See full entry

Mir ist aufgefallen, dass Motorradparkplätze in OpenStreetMap zwar oft vorhanden, aber häufig unvollständig erfasst sind. Angaben wie “fee” oder “capacity” fehlen oft, ebenso ein Eigenname der die Auffindbarkeit verbessern würde.

Aus diesem Grund trage ich seit einiger Zeit nicht nur fehlende Motorradparkplätze nach, sondern ergänze auch vermehrt fehlende Angaben bei bestehenden Eintragungen. Dabei fokussiere ich mich auf die Region Nürnberg - einfach weil ich meist hier unterwegs bin und die Gegebenheiten vor Ort kenne.

Allerdings betrifft das auch viele andere Städte. Für einen besseren Überblick habe ich die Daten visualisiert. Gleichzeitig nutze ich die Karte selbst zur Parkplatzsuche.

Falls es jemanden interessiert, hier ist die Karte: parkmymoto.org

Vielleicht ist das ja auch für andere Mapper ein kleiner Anstoß, beim nächsten Edit gezielt auf Motorradparkplätze zu achten 🙂

All that’s left is things like power poles, fire hydrants. But every building has a shape now. Every thing that has an address is now on the map.

I know in a month or so I will have to go back and adjust 2nd at Windfeldt as a new sidewalk is being put in. It’s about 2/3 complete.

I started the mapping process on November 18. So five months to map my home.

Yesterday marks the start of my Open Street Map contributions. Pikmin enthusiast. But more importantly, a food, culture and cuisine person.

Descrição

Nos últimos 6 meses, mapeei todos os parcómetros e áreas de estacionamento pago com duração limitada na cidade do Funchal, na Ilha da Madeira, como parte do projeto Parking in Portugal. Em algumas edições, utilizei o hashtag #portugal-estacionamento.

Para este projeto, foram úteis o aplicativo de uso gratuito iParque Driver, que oferece um mapa que indica as ruas que têm lugares de estacionamento pago (coloridas dependendo da zona), e as imagens aéreas da Ilha da Madeira de 2023, de 10 cm de resolução. Com estas indicações, fui a pé a cada um dos parcómetros, tirei uma foto da informação do parcómetro, e, logo em casa, com ajuda das imágens aéreas, adicionei os nós dos parcómetros com a sua informação (com uma precisão de, como máximo, 3 metros) e desenhei as áreas de estacionamento, também com a sua informação. A imagem seguinte é um exemplo da informação disponibilizada em um parcómetro:

(exemplo do nó osm.org/node/13568145429/.)

Zonas

… See full entry

Saya sedang memulai proyek untuk menambahkan tag name:id pada objek place=* di wilayah Jepang, Korea Selatan, dan Korea Utara. Tujuannya adalah mempermudah pengguna Indonesia dalam mencari dan mengenali nama tempat di Asia Timur sesuai dengan ejaan dan istilah administratif yang lazim (seperti Prefektur dan Provinsi).

Untuk saat ini, penyuntingan hanya dilakukan pada level Node. Objek berupa Relation (seperti batas administrasi) belum termasuk dalam cakupan kerja saya saat ini karena batasan workflow teknis.

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Localizing place names (name:id) in Japan and the Koreas

I am starting a project to add the name:id tag to place=* objects in the Japan, South Korea, and North Korea regions. The purpose is to assist Indonesian users in searching for and recognizing place names in East Asia according to common spellings and administrative terms (such as Prefecture and Province).

For now, editing is only being performed at the Node level. Relation objects (such as administrative boundaries) are not yet included in my current scope of work due to technical workflow limitations.

Hello, I’m Aidan Kaita Saka from Tanzania 🇹🇿. An active youth mapper dedicated to improving maps for my community. I enjoy contributing roads, buildings, places, and useful local information to help people navigate better. Proud to support OpenStreetMap and community development.

Regarding Lougheed Highway in Coquitlam, BC, Canada: Nothing along Lougheed between Sage Place and Schoolhouse is accessible to foot traffic, but much of it claims to be, despite the significant danger. Lougheed appears to be editable in many sections, and I don’t know how to change the entire strip easily. Can someone help? Thank you!