I would like to tell you about another small project I will be working on for the next months. It is made possible by a NLNet NGI Zero Discovery grant:

Missing maxspeed

Inferring default speed limits for situations where concrete maxspeed information is missing. Last time I checked, only 12% of roads had this tagged at all and while the number of roads tagged with maxspeed of course is increasing, so is the number of roads.

Compared with highway=unclassified, it looks pretty much like a zero sum game. This means, that not only did OSM based router software always have to fill huge holes in data to produce reasonably precise ETAs (etc.), it is also not something that will get any better on a global scale in the foreseeable future.

Why so sketchy?

It’s also understandable why the data is so sketchy: Roads can simply be traced from satellite imagery. Finding speed limit signs on the other hand often requires to look for them on-site or via good Mapillary / KartaView coverage which is in itself already much more time-intensive. Not only that - it’s even more time-intensive to confirm that there is no signed speed limit for a given segment of road as the speed limit sign could be located all the way down the road. (One reason why the speed-limits quest is disabled in StreetComplete.)

Finally, if it turns out there is no sign, tagging the correct maxspeed requires knowing the traffic legislation in the country one is mapping in. (And sometimes one errs in what one thinks is correct. Did you know that the default no-speed-limits in Germany are technically are not limited to the Autobahn?)

Goal

… See full entry

Hoy al finalizar el proyecto 7133 en el que he trabajado, he tenido la curiosidad de buscar edificios duplicados. He encontrado unos 120. No son muchos, pero creo que demasiados para pasar por alto al validador que dió por buena la tesela. Normalmente estaban concentrados. Al hacer la descarga mediante consulta overpass es difícil asignarlo a una tesela concreta.

Hay dos situaciones totalmente distintas: en la mayoría de ocasiones un mapeador mapeó un edificio superponiendolo total o parcialmente a otro. La otra situación me es más dificil de explicar como puede suceder. Se trata de una sola vía que tiene dos veces la etiqueta building=yes. El editor permite poner dos veces la misma etiqueta. No me he fijado en el editor, ni en el tiempo entre etiquetas, ni en si es el mismo mapeador u otro distinto. Creo que si lo estudio más podríamos conseguir que el editor evite esta situación

First of all: North Wales is lovely, and I’d definitely go there again.

I went for a short holiday to North Wales with DeBigC this week and did a lot of mapping while there, but that was intended. Let me break down what we did:

Mapillary

Very little mapillary had been done, so we walked around (I’m especially pleased with the walk on the Conwy town wall) and also captured as much as we could on the buses we took (see below). Capturing mapillary on the bus has the advantage of getting a slightly different perspective than on the car. The disadvantage is that we didn’t bring phone holders to attach to the window, so our arms got a bit tired after a while. Show mapillary captured by me

Bus travel

… See full entry

Introdução

Em Portugal os aglomerados populacionais tendem a estar dispersos e não concentrados num único centro urbano. Várias destas aglomerações situam-se a vários quilómetros do centro da freguesia, que é a menor divisão administrativa em Portugal, tornando-se assim muito difícil encontrar estes sítios se não tivermos o nome que os habitantes locais usam para se identificarem.

https://i.imgur.com/SYExQ6O.jpg

Comparação entre centros populacionais. À esquerda um sítio com várias aglomerações satélites e à direita um sítio onde a população está concentrada. Fonte: Bing

O Instituto Nacional de Estatística (INE) têm uma base de dados contendo o nome e os limites geo-referenciados de diversos aglomerados urbanos. É útil ter esta informação no OpenStreetMap, pelo que este guia ajudar-te-á a como se deve proceder à sua inserção no OSM.

… See full entry

My name is Hopeful Bafamodei, a member of Unique Mappers NGO Nigeria. I joined Unique Mappers Nigeria in the year 2021 through our national coordinator Victor Sunday and have been active as a youth mapper in engaging in mapping programes. I partook in April citizen science land pollution lookout where i headed a team of 10 in the sprint in locating and mapping out oil polluted area in Niger Delta were we were all given certificate for participation. I have introduced a lot of people and signed them up in Open Street Map. On 4th may 2022, I attended unique mappers network monthly mapathon, map my village for social good, where i was taught as a beginner mapper on how to map. I was also coached by our national coordinator Victor Sunday on how to organize mapping projects in my local community. i am a Team Lead Unique Mappers, Bayelsa State chapter and we are currently planning on hosting a state wide mapathon in Bayelsa state Nigeria. on the 15th of June 2022 i featured in a volunteer mappers orientation organized by Unique Mappers Team Port Harcourt Nigeria (youth mappers chapter), where i anchored a topic on mapping to respond to female genital mutilation, domestic violence and gender issues. i also attended June mapathon hosted by open mapping hub eastern and southern Africa on the 16th of June 2022. in this webinar i learnt some key things, one of it is to identify, recognize, nurture and collaborate with key institutions, groups, and individuals working in OSM. i also learnt how to promote effective use of OSM data and connect it to everyday lives of people: bring data, technology and people together.

Iran

Estación de recarga para vehículos eléctricos en la avenida Pintor Joaquín Sorolla. Fuente: trabajo propio (CC BY-SA 4.0) disponible en Wikimedia Commons.

Las estaciones de recarga para vehículos eléctricos gestionadas por la empresa privada Iberdrola en el municipio de Málaga ya aparecen en OpenStreetMap. Se han añadido al mapa un total de 22 estaciones de este tipo a partir de datos abiertos del Ayuntamiento.

Estas estaciones corresponden con los puntos de recarga recientemente instalados por Iberdrola, fruto de una concesión de explotación que le concedió el Ayuntamiento por un total de cinco años, prorrogables otros cinco. La empresa adquirió el compromiso de instalar puntos de recarga en los once distritos municipales.

… See full entry

A few days ago a few mappers in the UK noted that Bing imagery seemed somewhat out-of-date. I noticed it because it appeared not to show recent housing developments until zoomed in at z20. I found a development just outside the village of Llanbedr Dyffryn Clwyd whilst mapping rooftop solar in Denbighshire. My workflow for solar mapping uses Josm. As all the new houses had solar panels I wanted to add the buildings themselves, and I find the way in which imagery can be aligned easier to use in iD than in Josm (particularly as the offset needs cancelling in Josm which does not fit task-based mapping over several thousand square kilometres). So I did it a little crudely in Josm, only to discover that at z20 the imagery was available in iD, so I tidied things up a bit.

I didn’t think much about it until a local mapper in the area commented that Bing seemed a bit behind. This seemed a bit more significant, so I looked at my local university campus which is under continual development and therefore has lots of features which enable one to age imagery. To my consternation the zoom levels down to z19 showed a building which was demolished at least 7 years ago. Whilst looking at this area just now, the z20 imagery appears to be disappearing from cache.

A short distance South of the University is the Nottingham tram line which was well under construction in 2013 because a major bridge was put in place in September of that year. The ‘updated’ Bing imagery now pre-dates the tram development, and any construction work on the Chinese Studies building which opened in January 2013. It does show a new lecture theatre on the main campus which was built post-2009. It therefore appears that the imagery has reverted to a state around 2011 or 2012. Co-incidentally or not, this seems to be the same as ESRI Clarity.

I’ve looked at a couple of other places where I know construction work bridges this period:

… See full entry

Лонг рид, в том числе чтобы самому разобраться )

Захотелось мне помапить деревню Чанчур в верховьях реки Лены (ну с кем не бывает). И в одной из статей о ней прочёл, что у истока реки Лены поставили часовню. Стало интересно, замапил ли её уже кто-нибудь? Полез я в верховья реки Лены, и тут началось..

Википедия говорит нам, что исток реки Лена тут 53°56′00″ с. ш. 108°05′02″ в. д.. Но если мы пойдём ниже по течению, то увидим, что эта река “Лена” впадает в реку “Лена” (возможно на момент прочтения уже поправлено). Хм.. Обратимся к источнику гидрологических знаний и увидим, что есть два “водных потока” река “Лена” длинной 13 км и река “Лена (Большая Лена)” длинной 1726 км. Это же видно и по ген.штабу. Измерив русло от истока каждой из них до точки их слияния с помощью OsmAnd получим “Лена” - 15км, “Большая Лена” - 19км.

Лирическое отсупление: почему-то у реки Большая Лена “длинна водотока” указана 1726 км, при этом впадать реки начинают за 4279км от устья, а в Википедии общая длинна указана вообще 4400км.

… See full entry

这是一个占坑文，我会逐步的补充内容

先简单记载一下我的思路

一个是之前想过的名称来源于两个或多个含义的组合

另一个是中英文或者不同语言名称来自不同来源的情况，如何处理

（因为之前对岸的琉璃酱也写了一篇文章，@%E7%90%89%E7%92%83%E7%99%BE%E5%90%88/diary/399165 看到对岸发展的比较快但是这边啥都没有觉得有点心堵的慌）

（先……先不要评论哦……！）（><）

The Osm Go! team is looking for translators & developers:

• Translations are done on POEditor, just read the instructions here.
• Developers feel free to make some PR. Guidelines available here.

The team is focused on the next 1.6.0 version, for more details, you can find an up-to-date changelog here.

Сумно, сумно аж за край,

Навернулась миша, JOSM тепер гудбай.

Такий от крик душі без картографування. Два тижні картографічного голоду - це занадто. Згодні?!

Тож, в коментарі запрошую рекомендації, щодо бюджетної бездротової миші. Одним оком поглядаю на Xiaomi. Бюджет десь такий ;)

Як то кажуть, під’їзди до багатоповерхівок самі себе в OSM не внесуть.

До праці, до праці!

Дом-Работа-Дом

##Ездил на рынок и в Светофор *Купил на рынке тройник на шланг *Купил в м-не квас

‘건물’을 여러 분야에서 나름대로 정의할 수 있겠지만, 가장 기본적으로 ‘건물’을 어떻게 정의할 수 있을까요?
‘땅에 고정된 기둥 + 고정된 지붕 (+힘을 받는 벽체)’ 정도로 볼 수 있지 않을까 싶습니다.(순전히 제 생각)
선상가옥이나 이동주택은 건축법에서는 ‘건물’로 안 볼지도 모르겠으나 어쨋든 OSM에서는 ‘건물’(building)로 보고 있습니다.
OSM에서 ‘highway’는 ‘고속도로’가 아닌 ‘길’을 뜻하는 것처럼, OSM에서 ‘building’도 ‘건물’이 아니라 (고정된)’건축물’이나 (고정된)구조물(structure) 정도로 보면 될 것 같습니다.(앞으로도 ‘건축물’은 OSM에서 ‘building’을 이르는 말과 같은 말로, ‘건물’은 OSM에서의 속성으로만 쓰던지, 건축법 상의 ‘건물’이란 말로 쓰기로 하겠습니다.)
그 기준에 비추어, 기둥과 지붕이 있더라도 기둥이 고정되어 있지 않거나 지붕 전체가 고정되어 있지 않다면 ‘건물’(건축물)로 보지 않는 것은 옳겠습니다.
마찬가지로 ‘간이 차간’(carport;기둥에 지붕만 있고 벽은 없는 주차 공간) 조차도 ‘건축물’(building)로 보는 것은 그럴 법 하다고 볼 수 있겠습니다.

하지만 약간 문제가 있는 것이, 건물에 딸린 부속물(튀어 나온 지붕 같은)도 ‘건축물’(의 일부)로 보고 있는데 이는 어쩌면 당연한 일이라고 볼 수도 있으나 정작 문제는 ‘출입문’(정문)은 건물(building) 외곽선에 점(node)으로 있어야 한다는 것입니다.
그럼 실제 건물 외곽선이 건물 본체보다 튀어나온 경우에는?

또, 건물 아래로는 경로가 지나갈 수 없습니다.(그런 경우가 아주 없는 것은 아닌데, 건물 아래에 회랑처럼 통로로 쓰이는 곳은 다른 속성이 있습니다.)
그런데 실제로는 우리나라 한옥의 경우에는 지붕 아래에 다른 건물이나 지붕이 걸쳐 있는 경우도 많고 서양 건축에서도 ‘지붕’이란 것이 있는 만큼 그런 경우가 없지 않습니다. 대체 왜 이렇게 정한 걸까요???
건물 선 안으로 경로가 겹치게 할 때는 레이어 값을 다르게 줄 수도 있고, 건물 안에 통로를 표시할 수 있는 키 값도 있으나 지나갈 목적으로 만든 ‘통로’와 그냥 건물 아래로 지나갈 수 있는 것과는 다른 문제인 것 같습니다.(그럼 레이어 값이 답?)

깔끔하고 완벽하게 합의하기 쉬운 문제도 아니겠지만 이건 좀 정의를 잘못 한 게 아닌가 싶습니다.
따지다 보면 그런게 꽤 많아서, 뭐, 인제 그러려니 합니다만… ^^;;

StreetComplete v45.0 now has overlays! Finally!

You can load the alpha version from GitHub, the beta and release versions will be rolled out in a few weeks, when the bugs are ironed out. Please report any issues you find!

Overlays are a new way in which data is represented and editable on the map, additional to and orthogonal to quests: Display and edit just one aspect of OpenStreetMap, but allow it to be edited in an easy and efficient way.

Overlays help contributors to comprehensively record the kind of data that has the most value if it is mapped area-wide - for example addresses, POIs, sidewalks, cycle lanes, smoothness and other properties that are used as part of a network (e.g. for routing). In particular, overlays make it easy to identify where the information is missing and see at one glance if the information is (still) correct.

The initial version just includes two overlays to select from, “sidewalks” and “street lighting”. More will follow in the future but can also be contributed by others, just like quests, see the overlay guidelines.

… See full entry

Projects that can be made using the Open source street Map

Cyprus

In May I visited Cyprus and crossed into the UN Green Zone, Northern Cyprus, and Dhekelia (the UK Sovereign Base Area). This is a rare case where the Mapnik style is the one which best shows the true boundaries and situation on the ground. Here it is in between screenshots from Google and my MapsME app.

Businesses were under-mapped in the capital (Nicosia) and a Cypriot enclave inside of the UK base area (Ormidhia). Only roads and bus stops were well-mapped. There were similar problems on Google. As I walked along the main street in Ormidhia, I added a bunch of grocery stores and hairdressers.

Estonia

I visited Tallinn. At the Estonian History Museum I spent several minutes near closing time, walking around a park trying to find the old Soviet statues described in a Google Maps review. In retrospect I should have looked at OpenStreetMap, where they are all mapped and labeled!

Maldives

… See full entry

Contenedor para residuos orgánicos en la avenida Imperio Argentina. Fuente: trabajo propio (CC BY-SA 4.0) disponible en Wikimedia Commons.

El Ayuntamiento de Málaga ha empezado a poner en servicio unos nuevos contenedores marrones para residuos orgánicos. De momento se trata de una experiencia piloto de unos pocos contenedores en el entorno del parque Litoral (ubicación). A partir del 20 de junio se instalarán 43 nuevos contenedores en Teatinos, según ha anunciado (PDF 154 KB) el propio Ayuntamiento.

Estos contenedores no están en el mapa de OpenStreetMap. No se añadieron cuando se realizó la reciente importación de contenedores de reciclaje porque no había datos disponibles. Todavía no los hay, pero ya se puede añadir al mapa los nuevos contenedores marrones para residuos orgánicos que nos encontremos en la calle.

Un etiquetado apropiado para un contenedor marrón gestionado por la empresa municipal de limpieza (Limasam) podría ser el siguiente:

… See full entry

We the Unique Mappers Network Coordinators had a meeting, planning for our monthly marathon. During the meeting, different task was assigned to the Coordinators for the training of the members of the network.

He detectat moltíssims punts donats d’alta per usuaris que amb molt bona intenció els han identificat com “Tesla Superchargers” però en realitat son el que se’n diuen “Carregadors a Destinació.

Les diferències entre “Supercarger” i “Destination Charger” són bàsicament aquestes:

• Els “Supercharger” tenen gran potència, per la tal cosa son capaços de carregar molts kWh en molt poc temps, mentre que els “destination chargers” són molt menys potents i requereixen hores per carregar la mateixa quantitat de kWh.
• Els “Supercharger” són operats per Tesla amb acords amb els propietaris del lloc a on s’instal·len mentre que els “destination chargers” són operats directament per les entitats o persones que els adquireixen i instal·len als seus dominis.

És de enorme importància corregir aquests errors perquè poden provocar un seriós problema a conductors de vehicles Tesla que utilitzin la cartografia OSM per planificar un viatge, al trobar-se desprès que aquests suposats “superchargers” no apareixen a la cartografia del vehicle perquè en realitat són “destination chargers” que el ordinador del vehicle no té en compte per planificar el viatge i resulta un plá completament diferent del que el usuari havia dissenyat prèviament.