I fell down the rabit hole, learning about OSM, in order to port the map into a video game called Farm Simulator. They suggested I just rip it, and add what I want unsaved before I port, then realized I might as well just contribute to this neat open source database! I actually find it quite satisfying, and hope I’m helping. I’m not sure how long I’ll stick around, but I’m already at the max contribution…

The weather’s not been great around here, so I’m keeping myself busy (and out of harms way) by updating OpenStreetMap – there are lots of missing buildings here and there, and a few missing pathways and trails.

I’ve been focusing on the Ely, Caeru, and St Fagans areas in Cardiff as I’ve a particular interest in their history (see my previous posts). My aim is to add more detail to the woodland areas, especially the locations of hidden historical sites and secluded trails.

There are lots of buildings throughout that also need re-aligning, with the last edit for many being sixteen years prior! I’ll continue to chip away until everything’s up to date – given the horrid weather, I shouldn’t run short on time!

Merci de signaler si observation de polluants organiques ou chimique sur les rivières et lac sur les communes de Mazamet,pont de larn, aiguefonde, aussillon . Cela me permettra de signaler a l’OFB, et la fédération de pêche merci d’avance cordialement

I’ve been editing and modifying things on OpenStreetMap for about a year now, which is just insane to me!

I had never thought I’d make it to this point. At first, I was trying to modify a village and make it look a little better, but now, I can modify a lot of places.

If I showed my account to myself a year ago, he wouldn’t believe me.

Of course, this is still not my job. I’m still incredibly busy with life, which might make it harder for me to modify things on this platform, but I still enjoy my time here!

Thank you, guys, for reading this! I really appreciate your time here!

Peace.

• Emerucha

… railway departure boards in pubs.

A surprising number of pubs near stations in the UK have them now. The picture above (a detail from this Manchester Evening New article) is from the Victoria Tap in Manchester.

A search of the OSM data in the UK** finds a few, but I’m sure that there are more. A web search finds a bunch of suppliers, and many of their “here’s what you could have in your pub” examples are clearly in the southeast and southwest of England, so I’m sure that there are more to be mapped!

** That’s a simple postpass query:

{{data:sql,server=https://postpass.geofabrik.de/api/0.2/}}
SELECT osm_id, tags, geom 
FROM postpass_pointpolygon
WHERE tags->>'amenity'='pub' 
AND tags->>'departures_board' is not null
AND geom && {{bbox}} 

e.g. A place called “FooBar” should show up when you search for “Foo Bar”, or “Foo & Bar’s” should appear for “Foo and Bars”.

Note the space, ampersand, and apostrophe which may affect a search engine but are not pronounced in spoken English.

Is there a tag that the search engines pick up where I can put those variations? I notice that CoMap’s search engine is pretty good, but the search on openstreetmap.org is a little more strict.

Exactly a year ago I summed up the results in diary of my work on the script, it’s time to do it again.

You can view existing features of the script and install it on GitHub (⭐️ welcome :) or in the OSM Wiki

🛰 Custom map layers

Can be configured in the right side menu or by pressing shift + S.

Satellite images are finally working in Chrome.

It is now possible to customise not only backgrounds, but also vector styles shift + V (but there is a caveat for Chrome users )

… See full entry

I just created OpenMediaMap, an openly-editable map of old photo (pre-1930) locations.

I thought some fellow OSM editors who are also interested in history may find this cool. I also chose to use OSM as the background for the site.

Anyone can add a photo from any source whatsoever, and the goal is to build a visual historical map of how our towns and neighborhoods once looked.

Give it a look and perhaps add a few photos to the map! Feel free to provide suggestions for improvements, as well. :)

Here is the link: https://openmediamap.com/

江田島は人口が少ないからわかるけど地図が全く更新されてなくてびっくりしました。 今まででもう50個ぐらい修正しました。 これからよろしくお願いします。

Model buildings along the grid, after each grid add accessible parking and crosswalks, levels, addresses, alltheplaces, and wikimaps, then adjust roads and add streetside and zoning. I will later add lanes

add street lamps, check sidewalks, and add street signs and fences

add businesses ect.

survey area to find missing details

add neighborhoods to Evansville, each added once that neighborhood is complete

add neighborhoods to Newburgh, likely no borders only points

For the German regions of Sachsen-Anhalt and Niedersachen, I thought there are probably all buildings mapped. At least those called Einfamilienhaus or Reihenhaus.

But I found that with the following overPass query, many potential spots for missing buildings data can be found:

way["landuse"="construction"]({{bbox}});

And because of that my change set statistics of today is as follows:

Edited on 2026-01-27:

• 2281 nodes
• 404 ways
• 1 relation

Most used tags for nodes:

1. natural (371)
2. addr:housenumber (48)
3. addr:street (48)
4. addr:postcode (46)
5. addr:city (46)
6. entrance (36)
7. addr:country (26)

Most used tags for ways:

1. building (319)
2. landuse (22)
3. highway (16)
4. amenity (9)
5. addr:postcode (9)
6. addr:city (9)

Conclusion

Many buildings have been added (and some trees 🌳👼) in Niedersachsen and Sachsen-Anhalt.

But as the query suggests, there are still some construction sites which can be investigated. Probably this “trick” is already known to hardcore-mapper ;)

এই ম্যাপিং কার্যক্রমে রাজশাহী জেলার বাগমারা উপজেলার নাগা বাজার এলাকাকে কেন্দ্র করে মাঠপর্যায়ের তথ্য ব্যবহার করে OpenStreetMap হালনাগাদ করা হয়েছে। এতে নাগা বাজারের নিকট অবস্থিত একটি ইসলামি শিক্ষা প্রতিষ্ঠান (মাদ্রাসা), অবস্থান ও প্রাসঙ্গিক ট্যাগ যুক্ত করা হয়েছে, যা স্থানীয় শিক্ষার্থী ও পথচারীদের জন্য সহায়ক হবে।

Second day of “quick” weekend project.
Frankly, I’ve run out of interesting things to map around my immediate surroundings. During the holiday season I travelled around the countryside and noticed long stretches of cycleways running alongside highways, occasionally featuring benches, bins, and similar roadside infrastructure. On one trip I tried mapping a rural street using EveryDoor, but the result was similar to summer cycling: frequent stopping dropped my average speed by 10–15 km/h.

I needed a solution where I could mass-save coordinates while moving, and deal with proper mapping later. Vespucci’s copy-paste workflow is probably the closest thing in the OSM ecosystem, but it still requires first tagging a node, then tapping the correct spot on the map. If the map is accidentally dragged, follow-position mode is disabled, and changing the type of copied element requires tagging a new node.
After concluding development I was suggested OsmAnd may support something similar.

I’m android user, so the problem was phrased as “Is there some Android app with a super fast UI for saving coordinates?”

A quick search showed that virtually no existing apps allow bulk bookmarking of unnamed unorganised coordinates My intention was save location something i could later properly map from aerial images. Most apps seemed to require at least 2-3 taps to save position, often with typing bookmark name.

Functional requirements

For time estimates and comparison I used my typical summertime EveryDoor mapping experience. Potential mapping-assisting app should consider these points:

… See full entry

La mia proposta è in fase proposed

osm.wiki/Proposal:Civil_Protection_Areas

https://community.openstreetmap.org/t/rfc-proposal-civil-protection-areas-emergency-waiting-area-shelter-area-staging-area-rescue-logistic-entry-rescue/141031

Le Mur des réformateurs (ou Monument international de la Réformation) est désormais mieux cartographié et libellé en OSM.

Ce résumé décrit les divers éléments d’OSM dans leur état actuel (25 janvier 2026) et fournit des liens, bien que les détails aient pu changer depuis. Il précise également les champs (ou “tags”) utilisés pour donner ces informations.

Dans OSM, il y a 5 groupes d’éléments:

• 1 élément pour l’ensemble

• 10 éléments pour les statues

• 8 éléments pour les bas-reliefs avec les inscriptions monumentales

• 4 éléments pour les pierres commémoratives

• 1 élément pour le bassin

Restent à préciser les armoiries (Genève, Berne, Ecosse).

Statues

Il y a le groupe central:

• Guillaume Farel

• Calvin

• Théodore de Bèze

• John Knox

Les statues situées sur les côtés sont, à gauche (face au mur):

• Gaspard de Coligny

• Guillaume le Taciturne (Willem van Oranje)

• Frédéric-Guillaume, le Grand Electeur (Kurfürst Friedrich Wilhelm von Brandenburg)

à droite:

• Roger Williams

• Oliver Cromwell

• Etienne Bocskay (Bocskai István)

Les bas-reliefs et les inscriptions monumentales

Il y a 8 bas-reliefs associés aux statues, sous des inscriptions monumentales. Sous chaque relief, il y a un titre descriptif. A gauche et à droite d’un relief, il y a une citation ou une inscription (latérale). Les noms des personnes représentées dans les reliefs sont notés dans le relief.

… See full entry

🚀 Launch

CNEFE System – OpenStreetMap Brazil.

UMBRAOSM has just launched the CNEFE System, a new collaborative mapping tool that integrates open data from the CNEFE / 2022 Census (IBGE) with OpenStreetMap, covering all of Brazil.

With the CNEFE System, mappers can: ✔ Identify street names missing from OSM ✔ Correct spelling errors and variations ✔ Update street names based on official data ✔ Edit directly in JOSM or iD, avoiding rework

🛠️ The system was developed by Raphael Assis, president of UMBRAOSM, with data processing and organization carried out by Anderson (Santamariense), a result of the collaborative effort of the OSM Brazil community.

📘 Supporting material: https://cnefe.mapaslivre.com.br/tutorial/tutorial-logradouro.php

🎥 YouTube video lesson: https://www.youtube.com/watch?v=Y_Shjt4IjTg

🌍 Access the tool: https://cnefe.mapaslivre.com.br/logradouro/index.html

If 2026 started like this, the future of collaborative mapping in Brazil promises to be exciting 🚀

hashtag#UMBRAOSM hashtag#OpenStreetMap hashtag#OSMBrasil hashtag#CNEFE hashtag#Censo2022 hashtag#IBGE hashtag#Geoproc

Today, uBlock Origin detected 2 trackers. There was an attempt to fingerprint my GPU by extracting canvas data. What is going on, OSM? Is this why I’ve been donating you my free time? Maybe you’re not so better than Google after all…

.

本文是2025 年中国大陆乡镇 OSM 要素完备度分析报告（一）的续篇，展示了中国大陆内 31 个省、区、市内的乡镇 OSM 要素完备度分布情况。关于本文所述的 OSM 要素完备度及其统计规则，前篇已有介绍，本篇就不再赘述。本文吸纳前篇发表后的诸多建议所作修改，也展示在了前篇的对应部分中。所以，在阅读本篇的结果之前，请先对前篇中的说明有所了解。

本篇的结果分为六个部分。前五部分是各个省级行政单位的平均结果，按其平均完备度的排名顺序排列，先期结果中已有的北京、广东、江苏等省份不再重复介绍。最后一部分介绍全国的整体情况。

---

说明：

• 本文所述的“完备度”分数是在特定规则下得到的定量指标，不应该作为该区域绘图质量的认可或否定，也不应当作为唯一的绘图目标

• 本文统计时使用的统计脚本和统计数据已开源于 GitHub，感兴趣的读者可以自行取用，并以 GPL-3.0 协议进行二次开发

• 本文统计时使用的乡镇名单数据来源于中国统计局，时效是 2023 年。在此之后的 2025 年，中国大陆重启了乡镇级的行政区划调整工作，这几年可能会有频繁的行政区划变更。遗憾的是，由于统计局从 2024 年 10 月之后不再公开行政用的统计代码，这份名单可能会就此冻结。希望各位 Mapper 在标注近几年的行政区划调整注意保留节点中的 old_name 标签

• 本文绘图时使用的行政边界来自于中国国家地理信息平台，与 OSM 的绘图标准会有所差异，仅作参考；平台数据的时效推测是在 2019 年前；在展示县级行政单位的平均完备度时，拆分后新设立的行政区（如杭州市钱塘区）的数据会被映射到拆分前的行政区上，而县区级黑区则因缺少相应的行政边界而无法展示

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2025/02/13 更新：

• 本文的统计结果有了相应的可视化网站，各位可以在此更直观地了解兴趣地区的完备度得分，在此感谢项目发起者 @ztzthu

• 在修复了原统计脚本中的部分 bug （如将学校节点统计成派出所等），并补充了部分未匹配到的乡镇节点的坐标之后，本文修订了相关的统计结果；修订后的统计结果的时效性仍是 2025 年末，与修订前的统计得分相比可能有个位数的差别，平均分略有升高，但满分乡镇的数量略有降低

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第一部分：上海/北京/天津/广东/江苏/浙江/内蒙古

第一部分中，排名前三的均为直辖市，其乡级行政单位的数量仅为 200–350，只略多于普通的省会城市（通常在 150–200 之间），平均完备度在省级行政单位中排名较高也是可以预期的；随后的则是先期结果中评价过的，OSM Mapper 较为活跃的广东、江苏和浙江，平均完备度在 53–59 之间，与其他省级行政单位有明显的差距。

内蒙古自治区排名第 7，平均完备度为 49.71，位居分数密集段的头部。内蒙古中部临近陕西、山西一带，以及东北部的呼伦贝尔市一带的乡镇都有不错的完备度。同时，其乡级行政单位的数量较少，仅 1022 个，使草原、戈壁上相对空白的地区没有太过拉低平均水平。

上海市（1）

… See full entry

用于标记那些不属于主要路线但仍然构成国家路线网络连接的公路。次级公路通常由乡村道路分类附例规定，并被分配为。在发达国家，通常为铺装道路，每个方向至少有一条车道，中间通常由一条中央线分隔。在基础设施较差的地区，道路质量可能更差。highway=secondaryref=reference code

在城市中，它通常用于标记比道路重要性较低的干道。有关各国公路标记原则的概览，请参见国际公路分类等效关系。primary