Ça faisait un moment que je n’avais plus fait un update, mais mieux vaut tard que jamais.

Pour faire simple, il y a pas mal de choses que j’ai ajouté/corrigé sur OSM depuis la dernière fois (le boulevard urbain de Seraing et ses pistes cyclo-piétonnes, revêtement d’un paquet de rues/chemins/sentiers sur Seraing également, des installations éoliennes sur Engis, divers sentiers/chemins sur Neupré + utilisation des sols, etc) et parfois j’ai enregistré la session qui va avec, mais je me rends compte que ce n’est pas très intéressant ou je suis trop brouillon dans mes explications ou c’est un update trop ambitieux (comprendre la vidéo finale sera trop longue), ce qui me pousse à ne pas utiliser l’enregistrement ou le couper au milieu pour me concentrer sur ce que je fais sur OSM à la place (c’est le plus important après tout 😉).

Un autre changement important est que j’utilise un nouvel éditeur vidéo depuis le dernier update. Jusqu’ici, j’utilisais Openshot qui est assez simple d’utilisation mais devenait un peu basique à mon goût, et maintenant je suis sur Kdenlive qui me permet d’éditer mes vidéos de manière plus précise et de couper les temps-morts le plus possible (sans doute au prix de la fluidité parfois 😅).

Évidemment, il y a plus que trois vidéos cette fois-ci, mais c’est aussi sur une période de trois mois. J’ai aussi fait sur OpenHistoricalMap, mais je ne vais plus les mentionner ici vu que c’est OSM et pas OHM.

Améliorons Flémalle (sur OpenStreetMap) - Épisode 7 (Ivoz-Ramet et ses “problèmes”) - Version Live de cet update où je corrige divers “problèmes” sur Ivoz-Ramet

Améliorons Seraing (sur OpenStreetMap) - Épisode 32 (La quête des bornes continue!) - Version live de cet update qui est le résultat de ma première sortie VTT depuis mon opération… et mon pneu avant crevé 😡

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아래 풍력발전기들은 위성사진상 풍력발전기인 건 맞으나, 어느 발전소인지 불명확한 것들임. 아마도 발전기 설치만 하고 계통병입을 아직 안 해서 EPSIS에 집계가 안 되고 있는 상황인 것으로 여겨짐. 추후 EPSIS에 노출되는 대로 정리 및 추가할 예정.

노드번호 Ref 위도 경도 구좌읍 월정리 node/6740186186 n.a. 33.5168579 126.7594851

구좌읍 김녕리 node/7641971542 n.a. 33.5587855 126.7711681 node/7641971500 n.a. 33.5633738 126.7724564

홍성군 node/9196588574 n.a. 36.5196404 126.4383888

부안군 node/11336347287 n.a. 35.5804069 126.665816 node/11336347288 n.a. 35.5804614 126.6656966 node/11336347289 n.a. 35.5805934 126.6656148 node/11336347290 n.a. 35.5807025 126.665584 node/11336347291 n.a. 35.5808432 126.66558

울릉군 node/10805235767 n.a. 37.5156583 130.815123

구좌읍 행원리 node/10763132616 n.a. 33.5540301 126.821713 node/6740186185 n.a. 33.5164777 126.7595529 node/3753982805 n.a. 33.5378955 126.7886977

태안군 node/10236801603 소형 발전 36.7694299 126.304618

해남군 화산면 삼마리 node/6979989839 n.a. 34.4369591 126.4321187 node/6979989840 n.a. 34.436909 126.4320674 node/6979989841 n.a. 34.4368105 126.4320219 node/6979989842 n.a. 34.4367229 126.432204 node/6979989843 n.a. 34.4367886 126.4322799 node/6979989844 n.a. 34.4368496 126.4323444 node/6979989845 n.a. 34.4366369 126.4323595 node/6979989846 n.a. 34.4366979 126.4324335 node/6979989847 n.a. 34.4367573 126.4324999 node/6979989848 n.a. 34.4366181 126.4325568 node/6979989849 n.a. 34.4372172 126.4326744 node/6979989850 n.a. 34.4374252 126.4327275 node/6979989851 n.a. 34.4365847 126.4330987 node/6979989852 n.a. 34.4370462 126.4325335

거창군 북상면 node/4483840546 n.a. 35.7911736 127.704751

不渲染landuse=religious的名称与宗教种类图标

根据wiki，landuse=religious用于标注整座庙宇的占地，而amenity=place_of_worship用于标注实际进行礼拜所用的建筑、广场等。然而，Carto图层只会对后者渲染名称和宗教种类图标。在西方，教堂、清真寺等往往是一栋大建筑，于是只要给他加上amenity=place_of_worship，就能顺利把名称和一个图标显示在地图上了。然而，东亚的宗教场所大多是多栋殿宇、房屋组成的院落，各有其名，其中并没有一个直接冠以该宗教场所名称的主体建筑。 这就导致，按照wiki要求标注的话，Carto图层上根本看不到寺院的名称，而如果画了建筑的话，会看到密密麻麻的宗教图标（每栋殿堂一个），没画的话则连宗教图标都没有。

不渲染单独的attraction=

该标签用于标注游乐设施，其中attraction=animal用于标注动物园的展区。根据wiki，attraction=不是tourism=attraction的子项，不用加tourism=attraction，iD的预设也是单独的标签。 但在Carto图层中，单独的attraction=是不渲染的。这导致很多编辑者标注游乐设施时同时加了tourism=attraction。

不渲染标为区域的place=farm和amenity=research_institute

我是在画农场时遇到的。据wiki，二者分别用来标记用于生产的和用于研究或学术目的的农场。有的农场有明确的围墙包围了田地和院落，只把名字写在landuse=farmyard区域不甚妥当。但把名称写在这两个标签上的话，在Carto图层是看不到这里有农场的。 此外，自然还有别的许多研究所也都不渲染出来。

Keep removing my edits.. go ahead. I can just waste my time and add them back. I have no problem doing that.

Kena survey balik semua kawasan kalau ada masa. Terlupa nak backup punca lupa 😭

県内には砂浜が３つある。
１つは市内、もう１つは南の県境、最後１つは北の方。
この前市内のところに行ってきた。
結論から言うと、ちゃんと砂浜ではあったが、あまりおすすめできない場所であった。
数時間滞在すればそのうち出るだろうが、ポケストがないあそこに長時間滞在はしたくない。
なお、南の県境の方はゲット報告を見かけた。
自分はウミディグダはそのうちイベントでばらまかれるのを待とうと思う。

Oficina para turma do Centro de Investigaciones en Geografía Ambiental, da Universidad Autónoma de México - CIGA-UNAM

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A convite, a Dra. Raquel Dezidério Souto (IVIDES.org) realizou oficina sobre criação de web maps com uMap e dados do OpenStreetMap (OSM) para uma turma do Centro de Investigaciones en Geografía Ambiental, da Universidad Nacional Autónoma de México, campus de Morelia, como parte do curso PACES.

A oficina abrangeu uma parte conceitual e outra, prática. O conteúdo abrangeu uma apresentação dos conceitos relacionados a web mapping; características, modelo de dados, editores e APPs do OSM; e características, vantagens e limitações do uMap, como solução para web mapping.

Na parte prática, foi mostrado como criar um web map, sendo necessário apenas criar uma conta de usuário no OSM. Como exemplo, foi demonstrada a importação de dados de um arquivo .csv como uma camada estática no uMap e a criação de uma camada dinâmica, que recupera dados automaticamente, por meio de uma instrução em Overpass QL. Além de comentários sobre permissões de edição e visualização do web map e peculiaridades relativas à aparência dos objetos no produto final.

A instrução em Overpass QL disponibilizada para recuperação automática de escolas que já estão mapeadas no OSM e visualização com camada dinâmica no uMap pode ser adaptada para outros objetos geoespaciais, como hospitais ou supermercados, por exemplo.

https://overpass-api.de/api/interpreter?data=[out:json][timeout:25];
(node["amenity"="school"]({south},{west},{north},{east}););out body;>;out center skel qt;

IVIDES.org® é uma marca registrada.

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A gravação da sessão pode ser encontrada em:

Parte 1 - conceitual - canal do IVIDES.org® no YouTube

Parte 2 - prática - canal do IVIDES.org® no YouTube

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Welcome to my fifth (and a half) OpenStreetMap NextGen development diary.
Tomorrow, I’m returning home and I’ll be able to resume work at full speed 🔥.

This is a short edition of the development diary.

🐙 This project is open-source and publicly available:
https://github.com/Zaczero/openstreetmap-ng

Intro

For the past 13 days I have been on a journey of finding a new place to rent. Without my home office, I wasn’t able to become productive. The place I’m staying at doesn’t have a good office spot and being on my laptop doesn’t help. However, I am now very motivated to get back to work and push even harder!

May Will Be Big

At the end of May, OpenStreetMap-NG will include necessary functionality to run on a testing server, as well as to invite new contributors into the project. Starting with 6th of May, I won’t have any time-consuming plans for this month so I’ll do my best to wrap everything up. What’s exactly left has been described in Diary #5 Short-Term Development Plan. I have already started to prepare the All-in-One Contributor Guide which will also be finished up (it currently lacks backend/frontend-specific guides). This is going to be the first major milestone of the project!

Project Sponsors 🏅

I was happily surprised to see new faces even during my lower activity period. I will do everything to deliver the promised results. As always, thank you for supporting the project, monetarily, and with staring the project on GitHub!

Currently, the project is sponsored by 13 people!
Five private and four public donors on Liberapay, and four public on GitHub Sponsors.

• ~1847430, gileri (Eric G.), LaoshuBaby (快乐的老鼠宝宝), RedAuburn (Harry Bond), ~1819511, AurimasF (Aurimas Fišeras), edpichler (Edu), starsep

Disclaimer

This project is not affiliated with the OpenStreetMap Foundation. It’s an independent and community-sponsored initiative.

How do I make a map of a California county showing population density?

https://community.openstreetmap.org/t/south-australia-road-classification-proposal/112068

Highway, Building, Barrier, Tower, Area, Landuse, and more.

if you history user of 2 years form highways this finding. was edit errors has been yandex map.

There is a long discussion happening in the United States section of the community forum regarding where to draw the line between the “main” populated place node values, and specifically the place=* values of city and town in New England. I thought it would be useful to do a bit of analysis to see how these values are distributed across the database when compared to population. Through this analysis, I include all tags which have place values of city, town, village, hamlet, and isolated_dwelling. I also only include nodes that have a population tag.

My overpass query for each category looks like this:

[out:csv(::id,place,population;true;"|")][timeout:60];
node[place=city][population];
out;

One of the challenges of analyzing this key is that because it represents order-of-magnitude differences, its distribution is log-normal. In other words, it forms a bell curve provided that the X-axis is drawn logarithmically.

To look at this data logarithmically, I grouped the place nodes logarithmically, in steps of 1, 2, and 5 per 10x jump. When viewing the distribution of place=town, the log-normal shape comes out quite clearly. The number on the X axis represents the upper limit of each bin.

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✔ Oficina sobre criação de web map com uMap e dados do OpenStreetMap

✔ Palestra sobre criação de web map com uMap e dados do OpenStreetMap

✔ Oficina sobre importação de pontos de interesse (POI) no OpenStreetMap

✔ Mini curso para a Defesa Civil (Brasil)

✔ Oficina sobre mapeamento de pontos de interesse (POI) com OpenStreetMap

✔ Special interview about Brazilian NSDI on the first anniversary of YouthMappers UFRJ

✔ Entrevista especial sobre a INDE no aniversário de 1 ano do YouthMappers UFRJ

✔ YouthMappers UFRJ receives the Women’s Participation Award!

✔ YouthMappers UFRJ recebe o Women’s Participation Award!

✔ Our participation in the Open Data Day YouthMappers at UFBA 2024

✔ Nossa participação no Open Data Day 2024 do YouthMappers at UFBA

✔ Web map do mapeamento colaborativo para redução de riscos e desastes (RRD)

✔ Web map of colaborative mapping for the Disaster Risk Reduction (DRR)

✔ Mapear POI no OpenStreetMap e exibir dinamicamente com uMap

✔ Mapping POI in OpenStreetMap and displaying dynamically with uMap

✔ Resultados do GIS DAY 2023!

✔ V Olimpíada Brasileira de Cartografia incluiu o OpenStreetMap como parte de sua etapa prática

✔ V Brazilian Cartographic Olympiad included OpenStreetMap as part of its practical stage

✔ Geocodificação com OpenStreetMap

✔ Mapeamento humanitário e OpenStreetMap

Participação no Festival Latinoamericano de Instalação de Software Livre - FLISoL Rio 2024

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A Dra. Raquel Dezidério Souto, presidenta do IVIDES.org® e do YouthMappers UFRJ, ministrou palestra na edição carioca do FLISoL 2024, sobre Web map com uMap e OpenStreetMap, abrangendo os assuntos:

1. Conceitos básicos relacionados ao web mapping;

2. Características, modelo de dados, licença, acervos de dados, conversores, editores, APPs do OpenStreetMap;

3. Características do uMap, suas vantagens e limitações;

4. Estudo de caso - Web Map da Infraestrutura para Redução de Riscos de Desastres (RRD) no Município de Maricá (Rio de Janeiro, Brasil).

Todos os arquivos da apresentação podem ser encontrados na pasta virtual, que inclui a cópia do vídeo.

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O vídeo da sessão pode ser encontrado também no canal do IVIDES.org® no YouTube.

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Um agradecimento especial ao público participante ao vivo e aos(às) espectadores remotos! Agradecemos ainda aos(às) organizadores(as) do FLISoL Rio 2024, que contribuem para a disseminação do Software Livre na nossa cidade!

IVIDES.org® é uma marca registrada. Para entrar em contato sobre esta ação: ivides@ivides.org.

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OpenStreetMap (OSM) ist ein kollaboratives Projekt, das es Nutzern ermöglicht, Karten und geografische Daten frei zu bearbeiten und zu nutzen. Dieses „Wikipedia der Kartenwelt“ bietet detaillierte Informationen zu geografischen Standorten und lokalen Ressourcen, die von einer aktiven Gemeinschaft aus freiwilligen Kartografen ständig aktualisiert werden.

Verbesserte Sichtbarkeit für Arztpraxen

Einer der größten Vorteile von OpenStreetMap ist die erhöhte Sichtbarkeit, die es Arztpraxen bietet. Durch die Registrierung ihrer Praxis auf OSM können Ärzte und Ärztinnen sicherstellen, dass sie von potenziellen Patienten leicht gefunden werden. Dies gilt für allgemeinmedizinische Hausärzte ebenso wie für spezialisierte Fachärzte wie Zahnärzte, Hautärzte, Gynäkologen, Urologen, Chirurgen, Psychiater, Neurologen, Augenärzte, Kinderärzte und sogar Tierärzte.

Routenplanung und Erreichbarkeit

Für Patienten ist es oft eine Herausforderung, den Weg zur nächsten Arztpraxis zu finden, besonders in unbekannten Gegenden. OpenStreetMap kann hier Abhilfe schaffen, indem es genaue und benutzerfreundliche Karten zur Verfügung stellt, die nicht nur die Lage der Praxis zeigen, sondern auch Informationen zu öffentlichen Verkehrsmitteln, Parkmöglichkeiten und barrierefreiem Zugang bieten. Dies verbessert die Erreichbarkeit und Patientenfreundlichkeit enorm.

Lokale Vernetzung und Community-Support

OpenStreetMap fördert nicht nur die individuelle Sichtbarkeit, sondern unterstützt auch die Vernetzung innerhalb der lokalen medizinischen Community. Praxen können leichter Kooperationen und Überweisungsnetzwerke mit benachbarten Fachärzten aufbauen, was insbesondere für spezialisierte Disziplinen wie Neurologen oder Psychiater von Vorteil sein kann.

Katastrophenhilfe und Notfallsituationen

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[Semi-automated translation of the Italian diary entry]

On OpenStreetMap, a tree can be represented as a natural=tree node.

Leaf type 🌿

leaf_type is the most common tree-related tag in the database, this is because it is easily verifiable and is supported with a quest by StreetComplete. The values are broadleaved and needleleaved. Some argue that palms should not be tagged as broadleaved but with a value of their own, =palm.

Leaf cycle 🍂

This tag describes whether a tree is deciduous or evergreen. Most needleleaved tree species are evergreen, but this is not always the case, so do not infer this value automatically. You can add this value easily if you know the species, or more simply if it is autumn/winter. If not, you can try to see if satellite or street-level imagery taken at those times are available.

Genus and species 🌳

If you are not an expert, there are tools that can help you recognise the genus/species of a plant, such as Pl@ntNet and iNaturalist, both of which also exist as mobile apps. On OpenStreetMap there are many trees with species (or species:wikidata or species:xx) that do not have leaf_type or leaf_cycle. These values are of course identical for each species (and also for many genus) and can therefore be easily deduced. There are two lists on the OSM wiki that contain these values for genus and species.

MapComplete has a dedicated tree theme that can be used to enter the species while SCEE has a dedicated quest (“What is the genus or species of this tree?”).

Monumental trees 🏛️

Monumental trees can be mapped adding denotation=natural_monument. In Italy they are recorded by the Ministry of Agriculture, Food Sovereignty and Forests (Masaf) with annual updates. You can map them by adding ref:masaf, which is a unique code assigned by the ministry.

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Su OpenStreetMap, un albero può essere rappresentato come un nodo natural=tree.

Leaf type 🌿

leaf_type é il tag maggiormente valorizzato nel database, questo perché é facilmente rilevabile (basta un’occhiata) ed é supportato con un’apposita quest da StreetComplete. I valori sono broadleaved (latifoglia) e needleleaved (aghifoglia). C’é chi sostiene che le palme non debbano essere taggate come latifoglia ma con un valore tutto loro, =palm.

Leaf cycle 🍂

Questo tag descrive la caduta fogliare, cioè se un albero é caducifoglio o sempreverde. La maggior parte delle specie di alberi aghifoglia sono sempreverdi, ma non é sempre così, non inferite quindi questo valore automaticamente. Questo tag é facilmente compilabile se conoscete la specie, o più semplicemente se é autunno/inverno. In caso contrario potete provare a vedere se sono disponibili immagini satellitari o foto a livello stradale scattate in quei periodi.

Genus e species 🌳

Se non siete esperti, esistono degli strumenti che possono aiutarvi a riconoscere il genere/specie di una pianta, come Pl@ntNet e iNaturalist, entrambi esistono anche come app mobile. Su OpenStreetMap esistono moltissimi alberi con species (o species:wikidata o species:xx) che non hanno leaf_type o leaf_cycle. Questi valori sono ovviamente identici per ogni specie (e anche per molti generi) e quindi possono essere facilmente deducibili. Sulla wiki di OSM esistono due liste che contengono questi valori per genere e specie.

MapComplete ha un tema dedicato agli alberi che può essere utilizzato per inserire la specie mentre SCEE ha una quest dedicata (“What is the genus or species of this tree?”).

Alberi monumentali 🏛️

Il Ministero dell’agricoltura, della sovranità alimentare e delle foreste (Masaf) ha censito (con aggiornamenti annuali) gli alberi monumentali d’Italia. Potete mapparli aggiungendo loro il tag denotation=natural_monument e ref:masaf. Quest’ultimo é un codice univoco assegnato dal ministero.

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I’ve finished (for a second time!) mapping all the paths in my local cemetery. The first time another mapper decided that concrete or gravel ways designed for walking on weren’t “paths” and deleted them all. He also seemed to have strong feelings about people cycling in cemeteries, which is odd as The Greater Metropolitan Cemeteries Trust actually endorse it as a use of their land. As my daughter is buried in the cemetery I feel some ownership of the place, and do love it and Merlynston creek that flows through it. I’m hoping no one vandalises my work again.

I received a request to update my previous list of people who map every single day. The top 3 places remain the same, with Aurimas Fišeras passing the 10 year mark of non-stop mapping! Congratulations on an amazing accomplishment, and a big thank you to all of these dedicated mappers!

… See full entry