Over the last few months, I’ve been filling out the houses and buildings in southwest London because I’m bored and have taken a strange fixation on improving the map in this way.

I have noted a few things over the last few months, particularly how the addresses to flats and rows of townhouses are managed. when marking out an area for a building of flats it only lets me put one address in, when flats typically have multiple addresses attached to the same physical building.

Not a major drawback at the moment but this is the main reason im not filling addresses in as there are typicaly more than one address attached to each building. Im not a coder here but this is my mild wednesday musing put on paper.

I’m writing this a bit prematurely, i.e. before the video about the topic comes out, but I might be too busy the days following the video, so here we go:

Some weeks ago, I noticed a drawbar slot in the half-collapsed door of Donoughmore Church in Co. Kilkenny:

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Two years ago I somewhat naively asked on the wiki whether ÖPNVKarte couldn’t perhaps render the interval key somehow. I don’t think it would have to be as nicely designed as Transportparadise’s Oxford Bus Map, which even separates bus routes that share the same way. In my opinion, it would be sufficient to have the different patterns per way travelled (i.e. if two or more lines share the same way the pattern for the most frequent interval could be shown, or, more ambitiously, the intervals added up) for the map to give an overview of where public transport can take you more or less reliably. Unfortunately, I have lacked knowledge, experience and patience to use Maperitive and/or Overpass to try out how this could be put into practice and soon forgot about it.

The reason I came to think of this again was a holiday in Colmar, Alsace, France. To an outsider, the intervals of the city buses there are completely nuts, see for example this timetable pdf. But generalizing “37-48-41-51-44-etc.” into interval=45 would seem acceptable to me and a less fundamental question than how to discriminate between workdays and weekend. I am reflecting on this from a rural setting, where there might be no buses at all on Sundays.

Anyway, to a tourist, Colmar’s and Alsace’s public transport system is grand, amply subsidized and only partly affected by the typical downward spiral.

For our first hiking tour, we started from Wettolsheim Marbach through the vineyards first to the Les Trois Chateaux ruins and then on to the reconstructed Hohlandsbourg before heading back to the bus at Wintzenheim. The bus to Wettolsheim in the morning was in fact an on-demand service, a taxi ordered via the Flexitrace app and included in the normal fare: 1.50€ for a single trip, 11€ for 10 rides or 7€ for unlimited travel in 72 hours within Colmar and suburbs.

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Reflecting on my experience at the SOTM Nigeria 2023 conference in Abuja, I can only describe it as an extraordinary blend of education and inspiration. The paper presentations were nothing short of eye-opening, shedding light on various facets of mapping, including cartography and geography. What made this experience truly enriching was the opportunity to interact and obtain ideas with distinguished professors, seasoned cartographers, accomplished geographers, and fellow mapping enthusiasts. Moreover, I had the privilege of contributing to the conference’s success by joining the volunteer team. I extend my heartfelt gratitude to Dr. Victor Sunday the coordinator of Unique Mappers for his organizing and chairing the conference, I sincerely appreciate the organizers, partners, sponsors, both for the conference in creating an amazing and enlightening event, and for the grant, as I await the promised refund to the entire volunteer team who came from Enugu State to Abuja for the conference, Obasanjo Space Centre, Municipal Area Council, Federal Capital Territory, Nigeria. #SotM2023 #HOTopensummit #TomTom #UMT #LionMappers #AfriGist #NASRDA #SciStarter #WNHub #MiyaAcademy #OSM #OSMNigeria

Some time ago, I started adding links to 3D models on Sketchfab to ogham stones, sheela-na-gigs and high crosses in Ireland. I thought that this was a good idea to add value to the map, because we already link 2D images, 3D is just so much cooler and more useful. Some of these artefacts are not accessible to the public at all times, and having a digital 3D model makes them accessible for all the world (with a fast enough internet connection). Of course, you could just browse Sketchfab, but having the geolocation can be interesting and useful too.

Sometimes, museums or universities have contracted someone to make 3D models of artefacts that might be in storage in a museum or inaccessible in a farmyard, thus providing OpenAccess to these models in digital form.

What started this initiative of was that I found a working photogrammetry app called Kiri Engine. Full disclosure now: They have made me an ambassador for their app, since I’ve been promoting it in a video already and have recommended it to a few friends in archaeology. But I would still promote it, even if they hadn’t done that.

I’ve made a video on how to use it (YouTube) which will be followed by another one soon. The previous video was about why and how to link to Sketchfab from OSM: YouTube. I had made a wiki page for Sketchfab, but it has experienced some editing since. For it to be useful, the link has to work as a link, so for now, we cannot use just an identifier for the model, but have to use a full link. Sketchfab does hoewever provide a short link which consists of https://skfb.ly/ followed by a (for now) 5-digit code of letters and numbers. This might be possible to utilize as an identifier. But for now, I’m using and would recommend using url:sketchfab with the short url.

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Salvando estes links porque achei interessantes:

https://openinframap.org/#6/-22.256/-48.129/L,S

https://opengeofiction.net/#map=7/-25.627/166.421&layers=B

https://demo.f4map.com/#lat=-21.7938551&lon=-48.1773943&zoom=18&camera.theta=51.875&camera.phi=-13.751

Home

Die Graphenintegrations-Plattform (GIP) ist der zentrale, österreichweite Verkehrsgraph für alle Verkehrsformen inkl. Schiffe, U-Bahnen, Seilbahnen, Busse, KFZ, Radfahrer, Fußgänger etc.

Eine der markantesten Anwendung ist die intermodale Verkehrsauskunft für ÖV, MIV, Rad und Fußverkehr. Z.B. können Fußgänger die letzten Meter zwischen Haltestelle und Ziel durch Parkwege, Durchgänge etc. geroutet werden.

Diese amtlichen Daten werden in regelmäßigen Intervallen aktualisiert und unter CC-BY-4.0 allen Interessenten zur Verfügung gestellt. Die Quelldaten bleiben dabei im Besitz der Eigner (z.B. ASFINAG, ÖBB, Bundesländer …), es findet nur ein Abgleich der relevanten Daten statt.

Naturgemäß sind die höherrangingen Verkehrsdaten bevorzugt und inzwischen auch vollständig erfasst. Bei den Radrouten beginnt es sich auszudünnen, zur Zeit sind zumindest die Landesradwege österreichweit erfasst und als OGD verfügbar. Die Radrouten der Tourismusverbänden fehlen noch überwiegend.

Völlig blank ist die GIP bei den Wanderwegen. Mich wundert das nicht, denn Wanderwege sind eigentlich keine Verkehrswege sondern eher Wege für Freizeit und Sport. Im Gegensatz zu den Seilbahnen ist auch die unmittelbare wirtschaftliche Bedeutung gering.

Interesseneigner Wanderwege

Amtliche Daten zu den Wanderwegen könnte die Finanzierungskette Land - Tourismusverbände - Wanderwegeersteller (meist Gemeinden) transparenter und nachhaltiger gestalten. Sicher ein Vorteil für die Länder, weniger für die Tourismusverbänden, die den Freiraum gerne nutzen.

Möglicherweise ist auch das Militär daran interessiert. Die eigenen Ressourcen im Institut für Militärisches Geowesen (IMG) reichen für die eigenständige Datenerhebung nicht aus. Die historisch lang zurückreichende Unterstützung durch die Bundesamt für Eich- und Vermessungswesen (BEV) ist 2011 durch Einstellung der Österreichischen Militärkarte weitgehend weggefallen.

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State of the map Brazil 2023 - Curitiba -Brazil.

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Jestem tu nowy ja nie wiem o co chodzi tak szczerze, czy ktoś mi wyjaśni haha bo fajna apka ale troszkę się zagubiłem

My Sotm Brazil 2023 conference, an incredible experience and a lot of knowledge about Brazilian projects

O State of the Map Brasil 2023 aconteceu no Centro Politécnico da Universidade Federal do Paraná, na cidade de Curitiba, Paraná, Brasil, entre os dias 02 e 04 de outubro de 2023, em formato híbrido.

As Palestras podem ser vista no canal do Youtube.

Canal do Youtube - State of the map Brasil 2023

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Ověřování Profilů a stránek

Dzień dobry.

Planuję dodać informacje o ograniczeniach prędkości w Zwoleniu i okolicach (±5 km). Mam zamiar rozłożyć tę pracę na co najmniej kilka etapów, w tym niżej wymienione:

Lp.	Miejsce	Wykonanie
1.	Ulice Reja i Kościuszki (bez strefy zamieszkania)	✅ (142877077)
2.	Podzagajnik (wzdłuż drogi krajowej nr 12)	✅ (143217369)
3.	Ulica Targowa (między ulicami Wojska Polskiego a Majora Hubala)	✅ (143625723)
4.	Ulica Żeromskiego	✅ (143827509)
5.	Ulica Armii Krajowej (między stacją paliw Orlen a ulicą Żeromskiego)	✅ (143876925)
6.	Ulica Ludowa	✅ (143933627)
7.	Ulica Mickiewicza	✅ (144143894)
8.	Ulice Świętej Anny i Świętego Jana	✅ (144174370)
9.	Aleja Pokoju (między ulicami Skłodowskiej-Curie a Kochanowskiego) oraz ulica Skłodowskiej-Curie	✅ (144219978)
10.	Plac Kochanowskiego (bez drogi krajowej nr 12), ulica Kościuszki i Aleja Pokoju (obie w strefie zamieszkania), ulice Jagiełły, Krakowska, Moniuszki, 3 Maja, ulica Kilińskiego (między placem Kochanowskiego a ulicą Kochanowskiego)	✅ (144448565)
11.	Ulice Generała Andersa, 550-lecia, Czachowskiego, ulica Graniczna (między ulicami Targową a Czachowskiego), ulice Cielątki, Wężyka, Mała, Miła, Wesoła, Gotardowa, Dobra, ulica Prosta (między ulicami Czachowskiego a Wesołą)	✅ (144506747)
12.	Ulica Szkolna i Bulwar Targowy	✅ (145661789)
13.	Ulice Bogusza i Księdza Packa	✅ (155317760)
14.	Ulice Kardynała Wyszyńskiego, Kościelna, Różana, Staropuławska, Lubelska, Chopina, ulica Słowackiego (między ulicami Kardynała Wyszyńskiego a Chopina)	✅ (180959087)

Dalsze etapy będą podawane w miarę postępu prac.

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My reflection on the SotM Nigeria 2023 conference, lots of experience gained, meeting new people, learning new skills and sharing knowledge about OpenStreetMap, Open source data, local community inclusion and a lot more about the geospatial industry in Nigeria and the globe were incredible and amazing. regardless of challenges pose we overcame and conference was a success.

Lesson Learnt: The SotM 2023 has triggered my passion for OpenStreetMap volunteerism, local community inclusion & development and humanitarian response to open mapping, it has connected me to geospatial experts from different location of Nigeria and across, indeed it was privilege to meet with Mentors geospatial industry, each bit of conversation was an opportunity for learning, inspiring and collaboration for me.

Knowledge Gained: the knowledge gain was really mind – blowing. presentation made by different participants, were absolutely inspiring, well-tailored. With the likes Prof. Joseph Oloukoi, (AfriGist), Maron Mikel (OSM foundation), Letwin Pondo (SciStarter), Geoffrey Ketaregga (HOT Community project Lead) and others presenters has deepened the knowledge of open mapping and local community inclusion.

Challenge pose: Inadequate fund to support the conference was the major challenge of SotM 2023 conference, which has disbalance the logistical planning and other arrangement but I saw resilience, commitment, tirelessness of the Local organizing committee towards the success of the conference.

Future Hope SotM 2024: I look forward to SotM 2024 regardless of financial constraints posed at SotM 2023, that will not underscore relevant of open mapping and geospatial infrastructure in Nigeria. I believe in collaborative efforts of all individuals, as I was fortunate to witness the commitment and tireless effort of the organizing team, I look forward to SotM 2024, were we all work, meet and share knowledge and the trending happening of Open source and geospatial field.

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Hi, I am Mahjabin, a undergrad student from Computer Science and Engineering Background from Eastern University. Additionally, I am the President of YouthMappers at Eastern University, Bangladesh. Through this chapter, I have came to know about OSM like two years ago, but I mainly focused on working with the existing map data for project by using Python or simply saying geocoding. I guess I got a practical experience why mapping in OSM is very much necessary as much as using the data, because when working with disaster management projects, I faced a lack of data in my area so I have started making small edits in my free time as well as working map data because my main focus is in that. I hope to contribute to OSM or open data overall as much as I can.

UNIQUE MAPPER A Poem by Cyrus Aladja

Growing up and coming into age Really never belonged, truly felt different Like a bird, free to roam never in a cage Now it’s dawn I clearly see and here’s the difference

It strange nor weird, oh this bird is no freak It’s long overdue, this bird is no longer shy Maybe by chance it hatched in a pen with chicks But it’s time now to take its place in the sky

High up in the clouds to see the world and conquer Coasts to coasts, nations to nations, city to city all therein Cause now all eyes can see this bird’s a wonder Flying on Eagle’s wings, with grace and so so serene

Now it’s clear, the bird is unique Created and formed by our maker A bird high in the clouds is unique! This bird is a unique mapper

Just a few short weeks ago I made the decision to map all house numbers in Lancaster. Of course, I understood what an undertaking this is, so I set off on a search for good ways to view and add this data. Ultimately, I found myself at Lancaster’s GIS Website. After consultation with the OSM discord, I considered it safe for use and began to map them by hand using JOSM.

This leads me to why I personally believe house numbers to be so important. Through personal experience, I would consider house-to-house navigation far more used than routing to a business. If a map has no house numbers, then that may rule a large number of people completely unable to use such a map. This is why I seek to map house numbers.

After about a month’s time of mapping (plus life getting in the way) I would say I’m about 5% done. Slow progress, but progress nonetheless!

If any others would like to join my mission for mapping Lancaster’s addresses, it would be much appreciated!

Hi all

Keen for advice on the correct tagging for roads in Wellington, NZ which have chipseal. https://en.wikipedia.org/wiki/Chipseal

I was applying Tag:surface=fine_gravel but now looking at the Wiki I think that might be incorrect. Perhaps asphalt is the best tag even though it’s not smooth?

Many thanks

visit to self

도로의 분류 기준

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현실의 국가에서

일반적으로 도로의 위계를 구분함에 있어서는, 해당 도로가 연결하는 지역의 성질을 기준으로 하고 있습니다.

1. 여러 도 혹은 국가적으로 중요한 지점 사이를 잇는 도로 (국도에 대응)
2. 여러 시/군 사이를 잇는 도로 (지방도에 대응)
3. 여러 읍/면 사이를 잇는 도로 (시/군/구도에 대응)
4. 하나의 읍/면 내에서 여러 동/리 사이를 잇는 도로
5. 하나의 동/리 내부를 잇는 도로

이런 식의 지역 단위를 기준으로 한 분류 체계는 일제강점기부터 오늘날 남북한에서까지 이용되고 있는 유서 깊은 방식입니다. 그만큼 검증되고 확실한 분류 체계라는 의미도 될 수 있습니다.

도시계획시설 기준에 관한 규칙 제9조제3호에 따른 기능상의 구분으로는 아래와 같습니다. 어느 도로가 어디 해당하는지에 대한 구체적인 정보는 vworld 등에서 도시계획도로 정보를 참고하면 확인할 수 있습니다.

• 주간선도로
• 보조간선도로
• 집산도로
• 국지도로

일반적으로 주간선도로에서 보조간선도로가, 보조간선도로에서 집산도로가, 집산도로에서 국지도로가 분기되는 구조를 가지고 있습니다.

오픈스트리트맵에서

현재 OSM에서 통용되는 한국 지역의 편집 기준은 아래와 같습니다. (아래의 주요/비주요 도로는 iD편집기 상 카테고리입니다.)

• 주요 도로
  • 1차: 국도
  • 2차: 지방도
  • 3차: 시/군도
• 비주요 도로
  • 주거: 주거 구역을 연결하는 도로
  • 주택가: 거리 구역/마을 안의 길
  • 미분류: 마을 등을 잇는 샛길, 임도와 유사함
  • 트랙: 관리 도로(농로/임로)
  • 서비스: 시설 내부 접근 도로/진입로 등

현 체계의 문제점

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비주요 도로 분류 기준의 불명확성

현재 비주요 도로는 주요 도로에 비해 분류 기준의 명확성이 떨어지는 상태입니다. 명확성이 주요 도로에 비해 상대적으로 떨어지는 것은 어쩔 수 없으나, 가능한 한 명확한 기준을 세울 필요가 있어 보입니다.

주거, 미분류 도로의 잘못된 기준

현재의 기준을 보면 주거 도로는 주거 구역을 이어주며, 주거 구역 바깥의 길로 설명하고 있습니다. 하지만 영문판 위키의 태그 설명을 참고해 보면, 원 의미가 ‘마을을 연결하는 기능이 없는 주거지로의 접근을 목적으로 하는 도로’입니다.

Roads which serve as an access to housing, without function of connecting settlements.

• 영문 위키의 설명 -

즉, 현재 한국에서의 ‘주거 도로’ 기준은 원래의 개념과 완전히 다른 것을 가리키고 있습니다. 주거 구역 바깥을 이어 주는 도로는 오히려 ‘미분류 도로’(unclassified)가 적절합니다.

미분류 도로의 경우, 원래 한국에서 사용되지 않았던 것으로 보이지만, 한국의 분류 기준 설명에서는 주택가 도로와 트랙 사이에 있는 것으로 설명하고 있습니다. 하지만 highway 태그의 설명을 보면, unclassified는 tertiary의 바로 다음 단계입니다. 원래 미분류 도로가 가리켜야 하는 것은 작은 규모(마을보다 크고 도시보다 작음)의 지역 내부를 이어 주는 도로이지만, 현행의 체계는 이것을 ’주거 도로‘로 태그하라고 안내하고 있습니다. 물론 마을 등을 잇는 샛길이라는 현재의 특성은 이 기준에서 벗어나지 않지만, 위계가 잘못 정해져 주거 도로의 분류가 우선되고 있는 현재의 상황은 문제가 있다고 생각합니다.

특정 지역에서 지역적 특성에 기반하여 구체적인 기준을 정하는 경우에는, 그 기준이 원래의 개념과 체계 전체에 비추어 보았을 때 괴리가 가급적 없어야 합니다. 그런 점에서 현재의 기준은, 가장 기본적인 위계조차 잘못 설정되어 있다는 점에서 개선이 요구됩니다.

trunk 태그에 대한 오해석

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