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한국에는 아직 오픈소스 및 사용자 기여에 대한 활발한 환경이 갖추어져있지 않다. 하지만 그러한 문화에서도 여러가지 변화가 있는데, “나무위키” 서비스이다. 한국어와 한국 사용자 위주로 갖추어져있는 나무위키는 대부분의 사용자가 간단한 로그인만으로 위키 글에 기여할 수 있는 온라인 플랫폼이다.

오픈스트리트맵에 기여하는 한국인 사용자로서, 한국에서 더욱 활발한 사용자 참여가 있도록 여러 가지 방법을 생각해보고 있다.

그 중, 내가 처음 시도하는 것은 위치 기반 서비스 어플 출시이다. 필자는 연세대학교 학생으로,

연세대학교 서쪽 구역인 소위 “서문” 지역을 기반으로 하는 앱을 제작하고 있다.

이 앱은, 학생을 위한 카페 및 음식점 연결, 학생끼리의 소개팅이나 미팅 주선, 나아가서는 지역 사회를 기반으로 학생 창업 문화를 증진시키고자 하는 목적을 가지고 있다.

오픈스트리트맵을 활용하므로서, 모두가 기여하며 효과를 받을 수 있는 오픈소스의 가능성을 연세대학교에서 시작하고자 한다.

(ios 기반으로 앱을 제작중이며, 2025년 2월 중순 이내로 앱스토어에 등록할 예정이다.)

Location: 신촌동, 서대문구, 서울특별시, 03722, 대한민국
Posted by Dzertanoj on 28 January 2025 in English.

After reading this article How to transform data from NAD83 to WGS84 and based on my personal experience (taking RTK GNSS measurements with multi-frequency multi-constellation receiver hooked up to ORGN NTRIP caster referenced to NAD83(2011) epoch 2010.00), I want to share some notes.

The article suggests QGIS as a tool just to proceed with warning potential users how it could easily go wrong with no warnings. However, it doesn’t provide any methods to verify the results or the method itself except for trusting the process. Since my first attempts (independent from the content of the article) to transform my observations have failed, I was looking for the verification method and found some.

First of all, as far as I understand QGIS uses GDAL/ORG and PROJ. This toolchain has a very useful command projinfo for testing the transformation. You’d need to understand WKT output that it will spit out, but you can much easier spot the situation when it’s going to use a ballpark low-precision transformation.

For instance, this query:

projinfo -s EPSG:6319 -t EPSG:7665

among many other things spits out this string:

Conversion from NAD83(2011) (geog3D) to NAD83(2011) (geocentric) + Inverse of ITRF2008 to NAD83(2011) (1) + Inverse of WGS 84 (G1762) to ITRF2008 (1) + Conversion from WGS 84 (G1762) (geocentric) to WGS 84 (G1762) (geog3D)

It explains in fairly good detail what it’s going to do and has some useful keywords such as geog3D which means that it expects input and provides output in degrees of latitude/longitude as well as ellipsoidal height, see EPSG:6319 for details. It also mentions 0.01 m at the beginning and in the context of OPERATIONACCURACY[0.01] which is pretty self-explanatory.

Then, you can actually attempt transforming an individual set of coordinates using cs2cs. The easiest way is to throw them into its input stream like this using echo:

See full entry

Location: Caufield, Oregon City, Clackamas County, Oregon, United States

Cycling is not one thing

To most people cycling is just something people do as exercise and if you’ve seen one bike you’ve seen them all. To someone that has become deeply embedded into the cycling community at a national level as my hometown area has become a cycling hub for every variety of biking there is my view of biking has become quite diverse and how I’ve approached mapping cycling has matured and grown. I think a lot of people within the OSM community look at osm.wiki/Bicycle and scroll through pages and think, man it looks like you’ve got is all covered. However, I see this page I almost entirely see one type of cycling covered: Urban/Suburban Commuting.

So maybe a good place to start is to cover the variety of types of cycling that exist and how they are distinct and how they are also tangibly intertwined.

Even in listing these I tried to stop and logically break things in to categories like on-road, off-road, and closed circuit or hard-surface vs. soft surface of even high speed (sport) vs. low speed (recreation/commuting) but even here these starts to bleed together. For instance MTB racing has started to include gravel runs, so has cross country (XC), so has the Tour de France which is decidedly road.

Thus in no particular order here are some of the larger categories of biking and at a high level difference in how they function as it relates to biking.

Road Biking

Think tradition asphalt, curved handle bars, Lycra , fully human powered, and fast. From a mapping perspective this requires a lot of similar things to road mapping like speed limits but there is a particular interest in if roads have shoulders or if it’s an established mountain road that people train then there can be little difference.

Mountain Biking (MTB)

See full entry

Location: Bella Vista, Benton County, Arkansas, 72715, United States

The twenty-third development diary brings substantial architectural changes to OpenStreetMap-NG, marking a pivotal moment in the project’s evolution. This update introduces MapLibre GL JS as our new mapping engine, comprehensive dark theme support, and various quality-of-life improvements that enhance both user experience and technical capabilities.

🔖 You can read other development diaries here:
@NorthCrab/diary/

⭐ This project is open-source — join us today:
https://github.com/openstreetmap-ng/openstreetmap-ng

GitHub Stars

🛈 This initiative is not affiliated with the OpenStreetMap Foundation.


Video Summary

Feel invited to watch this video summary that demonstrates improvements in action. The showcase provides a look at the new MapLibre GL JS integration, dark theme functionality, and various interface refinements that enhance the OpenStreetMap-NG experience.

⬇ Click the image below to play

See full entry

Posted by Negreheb on 27 January 2025 in English. Last updated on 2 February 2025.

Hello OSM Community,

I’m still working on capturing 360° images of the city of Salzburg for Mapillary and Panoramax. My goal is to enhance OSM data in Salzburg, especially in areas with notes that could be resolved with better visual context - something 360° images can provide.

Progress as of now

Salzburg

Route Planning Challenges

So, i tried some tools to plan a route efficiently to cover as many streets as possible without overlapping - essentially the Chinese Postman Problem.

  • Bikerouter: manual tedious labour involved to cover every street
  • everystreet challenge: no GPX download, so useless. No developtment.
  • RunEveryStreet: More automated approach, but key features missing and some bugs, and I didn’t get a response to my suggestions unfortunately.

Unfortunately, none of these tools fully met my needs, so i did it more practical.

The Solution I’m Using

See full entry

به مدت ۲۵ سال در مدارس مختلف استان البرز، خاصه در منطقه ساوجبلاغ با سمت مدیر فعالیت داشتم، باتوجه به حفظ ارتباطات عاطفی خودم در طول سالهای عمر، مخصوصا بعد از بازنشستگی، از ظرفیت بکار گیری و همراهی عده ی زیادی از شاگردانم در امور اطلاع رسانی، نقشه خوانی و نقشه برداری، جمع اوری اطلاعات دقیق اماری مخصوصا ازنقاط محروم و کمتر رشد یافته را دارم

Location: shahin vila, District 6, Karaj, Karaj Central District, Karaj County, Alborz Province, Iran

Jau dažus labus mēnešus strādāju pie Zemītes un tās apkātnes uzlabošanas.

Mērķi

Padarīt karti detalizētāku un precīzāku- pievienot kokus, izlabot māju kontūras, izveidot jaunas, iepriekš nekartētas ēkas, pievienot grāvjus, jaunus ceļus, izveidot katram nostūrim apzīmētu apgabalu kā lauks, krūms, zāle, mežs utt.

Kas izdarīts?

Līdz šim esmu pabeidzis kartēt divus apgabalus- izdarīts ir viss, ko iepriekš minēju.

![Zaļās zonas- pabeigtie apgabali, dzeltenā zona- šobrīd strādāju](Screenshot-2025-01-24-at-19-39-06)

Bet kāpēc?

Kāpēc ne? Varbūt kādam nākotnē noderēs.

Location: Kalpu mājas, Zemīte, Zemītes pagasts, Tukuma novads, LV-3135, Latvija

1) Sentiero 801: Sa Pala de Cunventu - Is Seddas de Trebini, (Agro Sinnai)= mappato. 2) Sentiero 802: Cunventu - Bruncu Poni Fogu, (Agro Sinnai) = mappato. 3) Sentiero 803: Bau Arrexini - Bruncu Monti Eccas, (Agro Sinnai)= mappato. 4) Sentiero 804: S’Incantu - Campu Omu Arcu Arriu Longu, (Agro Sinnai)= mappato. 5) Sentiero 805: Arcu Is Pedras Biancas - Arriu Sa Scova Mara Solinas, (Agro Sinnai)= mappato. 6) Sentiero 806: Arcu Sa Spina - Arcu Su Crabiolu, (Agro Sinnai)= mappato. 7) Sentiero 807: Bau S’Acua Callenti - Baccu sa Figu, (Agro Castiadas)= mappato. 8) Sentiero 403: Sa Pala de Su Scoffu - San Gregorio, (Agro Burcei - Sinnai)= mappato. 9) Sentiero 800A: Sa Sedda de Tullinu - Sa Guardia de Tullinu, (Agro Sinnai)= mappato. 10) Sentiero 800B: Arcu Fra Contini - Sa Ruxi de S’Arridelaxiu, (Agro Sinnai)= mappato.

Location: Sabadi, Castiadas, Sud Sardegna, Sardegna, 09040, Italia
Posted by Tex2002ans on 22 January 2025 in English. Last updated on 23 January 2025.

In the upper-right corner of the main screen, you’ll see 3 buttons:

  • Upload
    • Looks like an “up arrow”.
  • Layers
    • This is the one we want!
  • Settings
    • Looks like “3 horizontal lines”.

(Note: This tutorial was created using StreetComplete v60.1 on Android.)

Tutorial: Adding Fire Hydrants

SEE IMAGE

1. Click on the “Layers” button.

2. Choose “Things”.

  • The icon will now turn into a green-and-white bullseye-looking symbol.
    • (You can now see objects like benches / fire hydrants on the map.)

See full entry

Posted by b-unicycling on 20 January 2025 in English. Last updated on 31 January 2025.

Street-level imagery

Since last Thursday, I’m touring the Netherlands with the band I’m in. I brought the GoPro Max sponsored by Meta, because I thought it would be a great opportunity to get lots of footage for Panoramax which has little coverage in the Netherlands so far. We’re staying in the same place all the time, near Epe in Gelderland and fan out for the gigs almost all over the Netherlands. We’ll be playing until the 31st of January.

Screenshot from Panoramax showing the progress on 2025-01-31

Unfortunately, it’s been very foggy since we arrived, so the imagery is not the best. It is also very cold, and the third trip (to Zutphen, if I remember correctly), the metal on the holder hinge shrunk and the camera tilted back, so that footage was fairly useless.

I upload the images to mapillary first, after all, they sponsored the camera, so it takes a while to get them onto Panoramax, and the internet at the accommodation doesn’t seem as quick as what I’m used to.

See full entry

Location: 52.347, 5.984

Bei meiner gestrigen Wanderung am Thayatalweg navigierte ich wie immer mit Handy und Komoot. Diese Methode benötigt bekanntlich sehr viel Strom. Dahner hatte ich eine 5000 mAh Powerbank und ein USB-C Ladekabel lose in eine Außentasche (!) des Rucksacks gepackt.

Powerbank und Ladekabel bei Kälte körpernah transportieren

Nach rund 12 Kilometern war der Handyakku erwartungsgemäß am Ende. Ich steckte die Powerbank ans Handy und beides in die äußere (!) Jackentasche. 2 Fehler mit 2 Ergebnissen: * Warnmeldung am Handy: Sehr schwache Ladeleistung! * An beiden Enden des Kabels, direkt hinter dem Knickschutz brach die Isolierung und mehrere Kupferlitzen brachen. Kurz darauf schaltete sich mein Handy wegen Energiemangel ab.

Dann stehst du bei dichtem Nebel, einem leichten Lüftchen und minus -2° (gefühlt -6°) ohne Navigation, ohne Verbindung zur Außenwelt und ohne Rückfahrtickets irgendwo auf einer kleinen Landstraße im Waldviertel!

Plötzlich ist man, ganz alleine, in einer echt gefährlichen Situation!

Erschwerend waren noch Hunger und Durst.

Mein Glück war die Landstraße als einzige Orientierungshilfe. Als ich an den Bus 875, der mich nach Hardegg brachte, wurde mir bewusst, ich hatte ja nun auch keine Tickets nach Hause mehr! Doch, diesmal nicht „Gott“ sondern Dank einer guten Planung /Vorbereitung hatte ich einen „Notgroschen“ + einen 500 kcal YFood Riegel + genügend Polster an Tageslicht.

Das A und O lautet:

Planung – Vorbereitung – Ausrüstung

Location: Katastralgemeinde Merkersdorf, Heufurth, Hardegg, Bezirk Hollabrunn, Niederösterreich, 2082, Österreich
Posted by InfosReseaux on 19 January 2025 in English. Last updated on 27 January 2025.

OpenStreetMap is now 20 years old. Its community is contributing to complete a geographical database which fuel many activities, for instance useful for energy transition and power grids asset management. The increasing impacts of extreme weather phenomenons like storms or wild fires disrupt power grids and expose them to wider outages. Operators have to reinforce and adapt their assets for those upcoming challenges.

Overhead power grids asset management had suffered from disinterest since early 1990s for instance in France. It remains at least a significant challenge in developed countries. Important decisions that had been made to bury them and more generally because they are “highly visible infrastructure” don’t bring value to accurate knowledge about existing infrastructures. Nevertheless, several decades are required to completely hide a very capillary distribution grid. So we need to better describe them for sake of maintaining remaining overhead power grids, particularly ones that couldn’t be buried. In particular, very high voltage transmission lines will remain mainly overhead.

Producing and maintaining knowledge about utility networks assets is tedious and expensive without appropriate tools. I already had opportunity to explain how the “OpenStreetMap way” is helping for power transmission grid knowledge, back in 2020. Operators now face other challenges and are busy with bigger investments for transitions. Yet lesser time left for knowledge management as projects pace accelerate. Power grids inventory started early after OpenStreetMap birth in 2004. It began with most visible transmission grids. Tagging improvements are continuously made since 2010 and 15 years later we reach another step with a deeper experience in such activities.

See full entry