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Posted by aaei924 on 12 September 2025 in Korean (한국어). Last updated on 7 January 2026.

일부 혼란스러운 매핑을 정리하고 OpenRailwayMap 이용을 고려하기 위해 몇몇 부분을 다듬고자 초안을 작성함.

route의 키 구분하기

  • route=subway : 도시철도 중 지하철 노선 (2호선, 5호선 등)
  • route=train : 광역전철 및 여객열차 노선 (호남선 무궁화호, 대경선 등..)
  • route=railway : 일반철도 노선 (과천선, 안산선, 호남선, 용산삼각선 등). 지하철 노선에는 사용하지 않음.
  • 국가철도와 도시철도 구간을 모두 주행하는 1호선 등은 어디로 분류해야 할지에 대해 생각해 보아야 합니다.

선로

  • railway=rail 과 railway=subway 사이를 구분하는 것이 중요합니다.
  • 지하철 노선도에 나와 있다고 전부 subway가 아닙니다.
  • 국가철도/기타 사업용철도는 rail, 도시철도 중 지하철은 subway를 사용합니다.

노선 (운행 계통)

  • 선로와 노선의 차이를 잘 구분해야 합니다. (윗부분 참고)
  • 광역전철은 독일의 S-Bahn 등 사례를 참고해 보면 train으로 구분하는 것이 바람직합니다. ( service=commuter 를 붙여 주시면 좋습니다)
  • 번호가 붙지 않은 철도노선의 ref 태그에는 노선기호의 문구(신분당선 -> 신분당) 혹은 역 번호의 앞부분을 넣는 것을 고려 (예: 용인경전철 Y1## -> Y1 혹은 Y)

정거장

  • public_transport=stop_area_group 가 비표준 태그이기 때문에, 사용을 지양해야 합니다.
  • 하나의 역은 하나의 public_transport=stop_area 관계로 나타내어야 합니다. (노선별로 관계를 분리하지 않아야 함)
  • 지하철 출구의 name은 숫자가 아닌 이름이 있는 경우에만 입력합니다. (번호가 붙은 출구는 name을 비우고 ref만 입력합니다)
  • public_transport=stop_area 의 name 역시 ‘~역’을 제거합니다. (시설물로서의 역을 나타낸다기보다 정거장으로서의 역을 나타내는 경향이 크기 때문)

Ref 키 사용 정리

철도 관련 지물에 붙는 번호/코드의 종류를 정리해 보았습니다.

  • 노선번호(대중교통): route=railway의 ref
  • 노선번호(선로): route=train의 ref 및 railway=rail의 ref
  • 선로번호(역 구내): railway=rail의 railway:track_ref (ref를 쓰지 않도록 합시다)
  • 타는 곳 번호(역): local_ref
  • 역번호: 개별 역의 ref
  • 역명 전산약어: 개별 역의 railway:ref

아래 ref키는 특별히 등록된 것은 아니고 이런 key를 사용하면 좋겠다는 부분입니다.

  • AFC(역무자동화설비) 코드: 개별 역(노선별) ref:AFC
  • 매표단말(ARS) 역코드: alt_ref
  • KROIS 코드: ref:KROIS
  • XROIS 코드: ref:XROIS

신호기 (railway=signal)

OpenRailwayMap의 매핑 기준을 따르게 되어 있는데, 국내에는 railway:signal:CATEGORY=TYPE 유형의 매핑 기준이 만들어져 있지 않아 신호기의 종류를 상세히 매핑할 방법이 없습니다. 이에 새로 체계를 만들어 보고자 합니다.

추가 검토가 필요한 사항

아래의 사항은 필요하다고 사료되나 해외 사례 검토 결과 보류할 필요가 있어 보이는 부분입니다.

노선 관계의 ‘name’ 태그에서 이름이 아닌 요소 제거하기

  • name 태그에 ‘도봉산 → 온수’처럼 방향을 표시하지 않는 것: from, to 태그로 표현할 수 있음
  • name 태그에 ‘수도권 전철’처럼 네트워크를 표시하지 않는 것: network 태그로 표현할 수 있음
Posted by Arjun kp on 12 September 2025 in English.

Hey OSM Kerala,

I’ve recently come across these innovative “Bottle Booths” scattered across Kerala as part of the state’s push for better plastic waste management. From what I’ve gathered, they’re public recycling stations designed specifically for collecting plastic bottles to reduce littering and promote recycling. The Kochi Corporation alone has installed over 300 of them in various spots, and similar initiatives are popping up elsewhere, often tied to the Haritha Karma Sena waste collection program.

Inspired by this, I’ve started mapping them into OpenStreetMap! So far, I’ve added a few in my local area, tagging them as:

  • amenity=recycling
  • recycling_type=container
  • recycling:plastic_bottles=yes
  • Optional extras like name=Bottle Booth and operator=Local Corporation (e.g., Varkala Muncipality) if known.

I’m not entirely sure about the full benefits of mapping every single one—maybe it’ll help apps like OsmAnd or Organic Maps guide people to the nearest booth, encouraging more recycling and cutting down on plastic pollution. It could also provide useful data for environmental projects or local governments.

If anyone’s in Kerala and wants to join in, let’s collaborate! keep an eye out and add them as you go. Here’s a photo of one.

https://commons.wikimedia.org/wiki/File:Plastic_bottle_booth,_Kerala.jpg

Happy mapping!

Location: Perumkulam, Varkala, Thiruvananthapuram, Kerala, 695311, India
Posted by H-M-T on 12 September 2025 in Turkish (Türkçe).

Merhaba. yaptığım düzenlemelerde hatalar olmuş ve yetkili tarafından düzenlenmiş bana mail olarak geldi mesajı okudum hatamı anladım fakat hala düzenleme yapamıyorum yardımcı olursanız sevinirim

https://prnt.sc/XRCtescwmNnc - https://prnt.sc/7XiO-hw3YZf_ - https://prnt.sc/G1gPDpibpcrX

Location: Uzunoluk, Korkuteli, Antalya, Akdeniz Bölgesi, Türkiye
Posted by rphyrin on 11 September 2025 in English.

I’ve been mulling over an idea for a while: what if we grab a complete snapshot of OpenStreetMap data for a given region, then run some statistics over it?

Things like which tags are most frequently used, who the top contributors are by edit count, and who has been active in that area the longest.

For the last one, “longest active” means the timespan between a contributor’s very first edit within that region and their most recent edit (also within that region). This distinction helps separate two very different contributor types: the one-hit wonders who show up during a mapping campaign, make a huge number of edits in a short burst, and then disappear forever; and the long-term caretakers, often locals, who quietly keep the map up to date whenever they notice changes in their surroundings.

To explore this idea, I had to build some tools.

Step one was downloading all OSM objects within a given administrative boundary (relation) : https://altilunium.github.io/osm-region-downloader/

See full entry

Posted by mmahmud on 8 September 2025 in English.

2025.09.08

I am two days late to write this post. Life gets in the way. However, I felt I should have this in writing. On 6 September 2025, after 11:30 PM, I suddenly realized that the ending day marks something significant. It marks the 10th year completion of my journey with OpenStreetMap. 10 years ago, on this day in 2015, I entered a workshop arranged by Save the Children International in Bangladesh. The workshop was arranged by a project named Kolorob (Bengali word for the sound of a lot of people cheering together) who were training youths on how to edit OpenStreetMap. Little did I know back then that it will entirely change the direction of my life.

10 years since 6 September 2015 consists of 3654 days. Checking my HDYC told me that I mapped 3425 days in that 10 years. That is about 9.38 years of mapping each day. It felt quite overwhelming. Mapping became such an integrated part of my life that it hardly feels something I do, rather something automated that is to be done regularly.

It was a rewarding journey, mixed with bittersweet memories of field mapping in hot summer days in the sun, venturing to unknown areas for GPS tracks, remotely mapping areas after areas that I will probably never visit, spending hours after hours on validating, figuring out how to best map an area, learning new tools, plugins, taking workshops, teaching and training new mappers, solving data collection problems, and so on.

Over time, due to various aspects of life and career, I drifted apart from organized mapping community. However, my mapping continued. I kept mapping unmapped areas of the world. My joy is to take a part of the world with no features mapped and then completing it, literally putting it on the map.

I hope to continue my mapping journey, one day at a time.

Posted by NIYONGIRA Fabrice on 7 September 2025 in English.

y first day in mapping was sweet and exciting. I felt good to know that even small tasks I did could help improve global maps. It was interesting to discover how roads, buildings, and other features are added, and I enjoyed learning while contributing to something meaningful. That experience motivated me to keep mapping and to grow my skills further.

Location: Nyamirambo, Kigali, Nyarugenge District, Kigali City, Rwanda

(My first diary entry, am I doing this right?)

I’ve been mapping my beautiful town for now 1.5 or more years. I discovered OSM through a Polish youtuber talking about motorways, and at first I made some small changes, not knowing what I got myself into. Through the years, I’ve fixed the landuse, updated all of the POIs, kept up with constructions, repairs, etc., and did all sorts of detailing.

I’ve reached a point where… I need to move outwards. There is not much left to do except wait for something to close, open or change.

It’s been a heck of a ride. I would like to give the Polish OSM community a warm thank you for helping me out in sticky situations.

Link for the map, go explore!

안녕하세요

가산동 라이브 방송 스튜디오 세븐시스템 입니다 페북 체크인 관련건으로 만지작 거리다 여기까지 오게 되었네요

즐거운 하루 되세요

질문요 ! 오픈스트리트맵 앱은 없나요? 아이폰 스토어에서 검색해도 안나오는거 같던데

https://blog.naver.com/7sorkr

Lifecycle Tagging

Lifecycle tagging is the representation of the temporal state of an object (e.g., whether it is under construction, demolished, or abandoned). Since there is no single convention universally accepted by the community, different and inconsistent schemes have developed, making automatic interpretation and uniform data management difficult. In many map editors, there is no section dedicated to editing this lifecycle, which makes it even more difficult for new users to understand how to use the system.

The goal of this project is to devise and implement a method for applying lifecycle tagging in a way that is simple, intuitive, and does not interfere with existing tagging practices.

PR can be viewed here.

Study

Before fully committing to the development of a new interface, a study was conducted to assess which tagging schema is the most popular, consistent and suitable for integration into the iD editor. Many other editors have been. Full study available here.

I also tried many of the existing editors and checked how they supported lifecycle editing.

Proposed Standard

See full entry

Después muchas pruebas, les comparto un método para realizar las correcciones de manera masiva y controlada. Este flujo de trabajo es el más simple, rápido y seguro que pude lograr.

⚠️ MUY IMPORTANTE:

  • Seguí las instrucciones paso a paso. El orden de los reemplazos es importante.
  • No mezcles las dos tareas (network y ref). Hacelas por separado y subilas en changesets distintos.

Requisitos:

  • Un editor de texto que soporte “Buscar y Reemplazar” con expresiones regulares (RegEx). Notepad++ es perfecto para esto.
  • JOSM instalado y actualizado.

Tarea 1: Normalizar la etiqueta ref

🎯 Objetivo: Quitar los prefijos “RN” y “RP” de la etiqueta ref en todas las relaciones de ruta.

Paso 1: Obtener los datos desde Overpass Turbo

Vamos a descargar un archivo .osm que contiene únicamente las relaciones que necesitan ser corregidas.

  1. Andá a overpass-turbo.eu y pegá la siguiente consulta.
  2. Modificá la línea {{geocodeArea:...}} para poner la provincia en la que querés trabajar (recomendado).
[out:xml][timeout:180];

// Reemplazá "Jujuy" por la provincia que quieras.
{{geocodeArea:Jujuy,AR}}->.searchArea;

// Para buscar en toda Argentina (puede ser muy pesado y lento)
// area(3600286393)->.searchArea;

(
  rel(area.searchArea)
     ["route"="road"]
     ["ref"~"^R[NP]"];
);

out meta;
  1. Hacé clic en “Ejecutar”. Ante el aviso de “Datos incompletos” hacé clic en “Mostrar datos”
  2. Una vez que termine, descargar los datos como OSM XML, andá a “Exportar” > “datos OSM sin procesar”. Guardá el archivo como refs_para_editar.osm.

Paso 2: La Edición Masiva en Notepad++ (en 2 reemplazos)

See full entry

📢 Venho compartilhar com vocês o Material de Apoio do Projeto Mapeia Crato/CE 2025.

Neste material, você encontra um passo a passo completo para o mapeamento das edificações (buildings) utilizado no projeto, organizado de forma prática e acessível. O conteúdo está disponível em três formatos: ODT, PDF e uma apresentação em MP4, para que cada mapeador possa escolher a melhor forma de aprender e aplicar.

👉 O material pode ser baixado diretamente no site do projeto:

🔗 https://www.umbraosm.com.br/projeto-mapeiacrato

https://imgur.com/cUFxKT5

🚀 Venho compartilhar o Material de Apoio do Projeto Mapeia Crato/CE 2025!

📂 Disponível em ODT, PDF e MP4 🏠 Passo a passo para mapear edificações (buildings) 🌍 Pode ser usado em qualquer projeto com dados do Open Google Buildings ⚡️ Fluxo de trabalho simples e produtivo

📥 Baixe agora: umbraosm.com.br/projeto-mapeiacrato

Location: Pimenta, Crato, Região Geográfica Imediata de Juazeiro do Norte, Região Geográfica Intermediária de Juazeiro do Norte, Ceará, Região Nordeste, Brasil
Posted by AdannaG on 3 September 2025 in English. Last updated on 4 September 2025.

SIWES Diary – Day 1 Date: 2nd September, 2025 Organization: Unique Mappers Network, Nigeria National Office: Suite 7, Mapathon Center, UNIPORT Mall, Abuja Campus, University of Port Harcourt

Activities:

-Reported to the National Office of Unique Mappers Network and settled into the Mapathon Center.

-Was introduced to the organization’s vision, mission, and the role of open mapping in sustainable development.

-Met fellow IT students including Favour, Alexander and Salvation, who are also undergoing their internship.

-Created an OpenStreetMap account and was tasked to locate my community and count the number of buildings. Many buildings were not visible, so using aerial imagery and my local knowledge, I edited the map by adding missing buildings.

-Since the office router had no internet subscription, I used my personal data for mapping and contributions.

-Received four major tasks for the internship period:

  1. Watch the video “The Magic of Maps and Mapping” (YouTube link-https://youtu.be/5MyCtvSBATI?si=g6TM60pmY_oolnT) and reflect on how mapping can be applied to geology.

  2. Work on mapping buildings in my community, since the area is not yet globally visible on OpenStreetMap.

  3. Research and design an open mapping project that addresses at least five Sustainable Development Goals (SDGs).

  4. Participate in research-related tasks assigned by the organization.

-Later in the day, I met the National Coordinator, Dr. Victor N. Sunday, who gave me a formal orientation. He emphasized the importance of my contributions and provided me with a WhatsApp link to join the National Community and Internship groups. Observations/Learning Points:

-Understood the operational structure of Unique Mappers Network and how it collaborates nationally on geospatial projects.

-Learned the importance of open data contribution to global platforms like OpenStreetMap.

See full entry