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Posted by IrdiIs on 1 June 2024 in English.

Shushicë, according to Wikipedia, has a population of around 8,000 people as of 2011, which are the latest public statistics provided by the government of Albania. This village is quite significant in terms of its size and population, making it more comparable to a small city rather than a typical village.

Mapping Shushicë was a challenging task due to its vast territory and the dispersed nature of its small houses. The scattered settlements across a large area added to the complexity, making it difficult to ensure comprehensive coverage. For future projects involving villages of this size, I am considering utilizing a tasking manager to streamline the mapping process and ensure thoroughness.

Additionally, I found a short Wikipedia article about the village that could benefit from further improvements and updates. You can find the article here. Enhancing this article with more detailed information about Shushicë’s history, culture, and demographics would be beneficial for anyone looking to learn more about this unique village, so i encourage you to also contribute to Wikipedia.

” #100VillagesIn100Days #Day1 “

Location: 41.101, 20.139

Hello Fellow Mappers, My name is Henny Vianelde de Jesus Pires, and I am from Timor-Leste. I have been using OSM since 2022 and am currently participating in the OMGuru Fellowship 2024. I am excited to share how I got involved with open-mapping, what I find fascinating about the fellowship, my experiences, what I have learned, and how it has impacted me.

Introduction

Participating in the OMGuru fellowship has been a significant journey of learning and growth. As part of the validation track, I immersed myself in the world of OpenStreetMap (OSM), using various online platforms to ensure the quality of mapped data. This entry outlines my experiences, lessons learned, and the impact of my work.

How I Got Involved with Open-Mapping

My journey with open-mapping began in 2022 when I first heard about OpenStreetMap. The collaborative and open nature of OSM intrigued me, and I quickly became passionate about contributing to this global map. The idea of creating detailed and accurate maps accessible to everyone, and after hearing about the OMGuru Fellowship, I was particularly excited and it motivated me to get involved and learn more about the different aspects of mapping.

Fascination with the Guru Fellowship

What fascinates me most about the OMGuru Fellowship is the opportunity to connect with like-minded individuals who are equally passionate about mapping and geospatial technology. The fellowship provides a unique platform for learning, collaboration, and growth. Additionally, the focus on ensuring data quality in OSM is particularly gratifying. Contributing to the accuracy and reliability of mapped data not only enhances the usability of OSM for various platforms but also builds trust among its users. By validating and improving data quality, I feel that I am making a significant contribution to the global mapping community and supporting projects that depend on precise and dependable geographic information.

Defining My Experience as a Guru

My experience as a Guru has been a journey of exploration and mastery. I have learned to use various platforms like Tasking Manager, JOSM, Osmose, MapRoulette, and OSMCha to validate mapped data. This process has deepened my understanding of spatial data analysis and enhanced my technical skills. The supportive community and the guidance provided by the fellowship have been instrumental in my development.

Biggest Lesson or Achievement

One of the biggest lessons I have learned is the importance of persistence and adaptability. Navigating and mastering how to use platforms that were new to me, such as OSMCha or Osmose, was initially challenging, but these challenges have taught me to be resilient and resourceful. Ensuring the data quality from mappers is quite challenging. My biggest achievement is successfully overcoming these challenges and contributing to the quality and accuracy of the OSM data. Additionally, I have gained valuable hands-on experience that has broadened my professional skill set.

Impact of the OMGuru Fellowship in my Personal and Professional Life

Participating in the OMGuru Fellowship has profoundly impacted both my personal and professional growth. Through this program, I gained valuable hands-on experience with OpenStreetMap (OSM) and others mapping tools. This experience not only enhanced my technical skills but also broadened my understanding of spatial data analysis.

Conclusion

My OMGuru fellowship journey has been filled with learning, growth, and meaningful impact. From a proficient understanding technical skill and overcoming challenges, each aspect has contributed to my development. I want to express my deepest gratitude to OMGuru Fellowship for giving me this huge opportunity and I am grateful for this experience and eager to continue my journey in the world of mapping and beyond.

Contact me on:

  1. Email : henny.vianelde9799@gmail.com

  2. LinkedIn : Henny Vianelde J. Pires

  3. Facebook : Henny

Location: -8.563, 125.561

(Ελληνικό κέιμενο παρακάτω)

I’ve been dabbling with overpass today and wrote this query for correcting one of my biggest pet peeves in Greek name tags, the absence of stress accents. Since by the nature of the mistake it is often one out of thousands of street names and very subtle at a distance, it is quite hard to find manually, unless someone systematically added street names without stress accents on purpose in error. Maybe I should add these to the wiki page or make one for particularly Greek language examples.

Έπαιζα λίγο με το overpass σήμερα και έγραψα το παρακάτω query για τη διόρθωση ενός από τα μεγαλύτερα μου pet peeves στα ελληνικά tags για ονόματα, η απουσία τονισμού. Λόγω της φύσης του λάθους είναι συχνά ένα από χιλιάδες ονόματα οδών και αρκετά διακριτικό από μακριά, είναι αρκετά δύσκολο να βρεθεί με το χέρι, εκτός αν κάποιος συστηματικά βάζει ονόματα οδών χωρίς τόνους επίτηδες από λάθος του. Ίσως πρέπει να το προσθέσω στο wiki ή να κάνω σελίδα για ελληνικά παραδείγματα.

// gather results nwr ["highway"] ["highway"!="bus_stop"] ["name"] ["name"!~"ά"]["name"!~"έ"]["name"!~"ί"]["name"!~"ή"]["name"!~"ώ"]["name"!~"ό"]["name"!~"ύ"] ["name"!~"Ά"]["name"!~"Έ"]["name"!~"Ί"]["name"!~"Ή"]["name"!~"Ώ"]["name"!~"Ό"]["name"!~"Ύ"] ["name"!~"ΐ"]["name"!~"ΰ"] ({{bbox}}); // print results (._;>;); out meta;

Posted by IrdiIs on 1 June 2024 in English.

Albania’s mapping, especially in rural areas, is lacking. Villages, in particular, are often not mapped at all. To address this, I’ve set myself a challenge: to map 100 villages in 100 days. I’ve used tools like Overpass Turbo and a Python script to select these villages randomly. Below, I’ve listed the villages, although I haven’t checked if they are already mapped. In the event that a village on the list has already been mapped, I will replace it with another. I’ll update regularly on my progress.

  1. Shushicë (41.1008191, 20.1388668) ✅
  2. Vukël (42.4861958, 19.64735)
  3. Fitore (40.6320149, 19.4559282)
  4. Lapardha e Sipërme (40.7808255, 19.9537119)
  5. Përcëllesh (41.2874122, 19.9449583)
  6. Gjerë (40.9055141, 20.2940623)
  7. Faqekuq (40.5656368, 20.4054953)
  8. Qerret (41.3923154, 19.4917403)
  9. Stropckë (40.8534357, 20.6842592)
  10. Kullaj (42.1386724, 19.5262028)
  11. Kastriot (41.737124, 20.3791595)
  12. Mokricë-Zleushë (40.2992792, 20.3276938)
  13. Tenë (41.7855984, 19.9595356)
  14. Lavdar i Korçës (40.6027805, 20.6556642)
  15. Arrëz (40.5005086, 20.8421665)
  16. Lapulec (40.6288454, 19.7373071)
  17. Kuzhnen (41.8980834, 19.9670947)
  18. Kotorr (40.9265281, 20.1673374)
  19. Kafaraj (40.6364502, 19.5117088)
  20. Shtëpëz (40.2158767, 20.069172)
  21. Frashër (40.3661283, 20.4281963)
  22. Jaran (42.26793, 19.4481678)
  23. Leminot (40.7941842, 20.6957944)
  24. Perkola (41.4464692, 19.9303746)
  25. Hajdaraj (40.9589557, 19.7221109)
  26. Kaftall (41.9452335, 19.7686687)
  27. Vesqi (41.1750169, 19.8248392)
  28. Zdojan (41.6879927, 20.3797589)
  29. Kosovë (40.8998168, 19.8141917)
  30. Mushnik (41.1514842, 19.6657204)
  31. Alarup (40.864066, 20.7950294)
  32. Gllavë (40.4893239, 19.9653888)
  33. Shënepremte (41.0272906, 19.5457236)
  34. Xhan (42.2506701, 19.6490827)
  35. Floq (40.5081269, 20.7154456)
  36. Vlashaj (41.5316376, 20.4055941)
  37. Llëngë (40.8864156, 20.5007392)
  38. Renz (41.7545162, 20.3830977)
  39. Demiraj (42.1811321, 19.4751039)
  40. Slatinjë (40.481813, 20.1713576)
  41. Radesh (40.5389203, 20.2550814)
  42. Gradec (42.2547977, 19.4617091)
  43. Fushëz (40.7865358, 20.264107)
  44. Rashtan (40.8801918, 20.3259025)
  45. Duhanas (40.7233908, 19.9954468)
  46. Saraqinisht (40.1055965, 20.2304735)
  47. Tomin (41.6906338, 20.4210429)
  48. Kryemadh (42.0895508, 20.2911894)
  49. Grykë-Manati (41.7791296, 19.6790894)
  50. Mushan (41.9773281, 19.4351608)
  51. Rushkull (41.980251, 19.3969448)
  52. Mjedë (42.0017697, 19.6148898)
  53. Qazim Pali (40.0478302, 19.855221)
  54. Bezhan (40.4215687, 20.7353506)
  55. Mesul (41.9489498, 20.0499793)
  56. Cerjan (41.7134663, 20.4824473)
  57. Bishqem (41.0699913, 19.8672447)
  58. Papër (41.0538876, 19.9569239)
  59. Pac (42.2900815, 20.2034059)
  60. Gjergjan (41.0387886, 20.0139255)
  61. Kaçinar (41.8012625, 19.6949146)
  62. Romës (40.5595996, 19.6816829)
  63. Selckë (40.1088656, 20.2968363)
  64. Bukmirë (41.8389148, 19.868848)
  65. Bubq (41.4713963, 19.6545539)
  66. Mengël (41.1202355, 20.1188463)
  67. Gjokaj (41.3587642, 19.6738825)
  68. Nangë (42.0105618, 20.4164814)
  69. Ngraçan (40.646106, 19.7962679)
  70. Bishqethem (40.8695061, 19.6591411)
  71. Baz (41.6286658, 19.9304945)
  72. Memaliaj Fshat (40.3452031, 19.9764133)
  73. Plan (42.2894757, 19.693757)
  74. Kujtim (41.5591781, 20.0601065)
  75. Poçestë (40.6842812, 20.7179655)
  76. Velahovë (39.9054826, 20.1531553)
  77. Tharri (41.7343178, 19.9859391)
  78. Matranxhë (41.8637241, 20.4212978)
  79. Vorrozen (41.1431628, 19.5634312)
  80. Levan (40.6206191, 19.8556674)
  81. Pilur (40.6638888, 20.9162806)
  82. Kodër (40.2747186, 20.065531)
  83. Bllatë e Poshtme (41.5623971, 20.477637)
  84. Toç (40.417205, 19.8675563)
  85. Skrevan (40.7505737, 19.8250009)
  86. Arn i Epërm (41.6405756, 20.3047777)
  87. Lofkend (40.6448336, 19.7453692)
  88. Ogren-Kostrec (40.3163612, 20.4498636)
  89. Lenmushë (40.721556, 20.2431292)
  90. Rrashtan (41.0485117, 20.512638)
  91. Raban (40.3410655, 20.3132609)
  92. Skënderbej (41.1340621, 20.5638372)
  93. Kuç (40.1742689, 19.8389532)
  94. Jezull (41.7445468, 19.817449)
  95. Ujëmirë (40.3873621, 20.1341224)
  96. Shpatanj (40.6591601, 20.2200733)
  97. Unnamed village (41.6811445, 20.3302903)
  98. Rusinjë (40.6784764, 19.6717383)
  99. Tremul (39.8654747, 20.0849958)
  100. Arrëz (40.2520032, 20.6924267)
Posted by Candid Dauth on 1 June 2024 in English.

I really missed Openptmap ever since the service stopped working a few years ago. It was an important feature of FacilMap that I had used frequently in my daily life. This is why I have decided to invest in a bigger server to be able to render and host the tiles myself.

I have set up a tile server with the original Openptmap styles on https://pt.facilmap.org/. You can browse the tiles through FacilMap.

For now, tiles are generated when first requested, so rendering the map will be very slow when a region is first accessed. Also, there are no automatic updates of the map yet, so for now the state of the map will be frozen in time. When I find the time, I want to bring the setup up to date to enable automatic updates. If you have the skills and want to contribute, what would be needed would be to rewrite the filter and style into an osm2pgsql flex output Lua script.

If you find this service useful, a financial contribution would be greatly appreciated.

依据辽宁省丹东市东港市政府公布的文件,对东港长安镇下辖的1社区6行政村以及部分村下有建制的小组(小村庄)进行补充,后续将对该镇及附近地区进行更具体的综合信息补充。也欢迎各位进行改进和批评。 图片:https://ibb.co/QXFk3B6

Location: 40.120, 124.081

Welcome to the ninth OpenStreetMap NextGen development diary.

This week was focused on providing final touches to the core system. Within the few days I’ll publish details on how to get started contributing! Keep an eye for a dedicated diary entry 🙂/.

🔖 You can read my other development diaries here:
https://www.openstreetmap.org/user/NorthCrab/diary/

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

🛈 This initiative is not affiliated with the OpenStreetMap Foundation.

Let’s jump into this week’s highlights.

macOS and ARM support

OpenStreetMap-NG development environment has received MacOS support. Meaning that it can now be developed on Linux, MacOS, and Windows through WSL2. The installation instructions are the same for all platforms and contain just a single step: install and run nix.

Changesets History Refresh

The changesets history sidebar has received a design refresh. It is now consistent with the overall style language of the OSM NextGen. It now also includes infinite-scroll functionality! The data loads as you scroll, no more clicking the “load more” button.

GPS Trace Animations on Hover

The next generation trace animations are now also displayed in the list view. Simply hover over the entry to see it in action. Previously, the animations were part of the individual trace details page.

Rendering a complete animation in the browser takes about 0.5 ms. It’s really quick and requires no additional data download.

General Refactoring & Fixes

With the first development release approaching quickly, this week I focused on doing finishing touches to many of the core components. It’s important to perform such edits now, to avoid conflicts with other contributors work in the future.

Project Sponsors 🏅

I want to thank all the project patrons. Thank you for your help in building the next generation maps!

This week work has been sponsored by 13 people!
Four private and four public donors on Liberapay, and five public on GitHub Sponsors.

If you can, please consider supporting the OpenStreetMap-NG development.

Donate using Liberapay

Bułgaria jest krajem na południu Europy, graniczącym z obszarem Bałkanów i Azji Mniejszej (Turcji). Jest prawie 3-krotnie mniejsza terytorialnie od Polski, w ilości ludności - prawie 6-krotnie; w wielkości społeczności OpenStreetMap - prawie 10-krotnie mniejsza od społeczności poświęcającej swój czas na obszar Polski! To wszystko powoduje, że nawet w przypadku największych miast Bułgarii łatwo dostrzec “białe plamy”, które powinny być wypełnione budynkami, chodnikami, parkingami dla samochodów itd., nie mówiąc już o obszarach zagospodarowania przestrzennego jak lasy, pola uprawne, zbiorniki wodne itd.

Bułgaria to także - z racji Morza Czarnego i Gór Półwyspu Bałkańskiego, ciepłego klimatu śródziemnomorskiego, smacznej kuchni (słowiańsko-bałkańskiej, z wpływem kuchni tureckiej) i przystępnych cen (niższych niż w Polsce) - wspaniałe miejsce z uwagi na turystykę i wypoczynek (piszę to wszystko z doświadczenia własnego).

Niestety, dobrej jakości źródeł do mapowania Bułgarii nie ma - tu trzeba trzymać się trudno dostępnych danych kadastru (https://kais.cadastre.bg/) i zdjęć satelitarnych Esri. Ale oba one, w połączeniu z lokalną, bułgarską społecznością, która - dzięki narzędziom typu StreetComplete, Every Door czy edytora w OsmAnd - może “oddolnie” uzupełnić szczegóły nieznane nam sprzed biurka często setki czy tysiące kilometrów od Bułgarii - stanowi wystarczający zestaw do wsparcia OpenStreetMap w Bułgarii. Pomoc bułgarskiej społeczności odwzajemni się po stokroć podczas odwiedzania tego niedocenianego turystycznie państwa.

OpenStreetMap dla Bułgarii

Tranh Decor Việt một thương hiệu nổi tiếng với những sản phẩm nào hãy cùng tôi tìm hiểu nhé. Tranh Decor Việt mang trong mình sứ mệnh mang đến cho căn nhà của bạn sức sống mới và cùng với rất nhiều sản phẩm được mọi người yêu thích Sản Phẩm hãy ghé qua Website Tranh Decor Việt để được tư vấn miễn phí về các sản phẩm mà bạn yêu thích nhé…

Những sản phẩm với nhiều lượt mua nhất trong 1 năm trở lại đây

Hãy liên hệ với chúng tôi qua Website: https://tranhdecorviet.com/

Esmu manījis, ka iekš OpenStreetMap Latvijas robežupes plūsma nereti sakrīt ar Latvijas robežu, bet… Kāpēc tā?!? Ja upe maina savu tecējumu, tad robeža NOTEIKTI NEMAINĀS.

Esmu veicis korekcijas ar Gaujas tecējumu un Latvijas-Igaunijas robežu, bet tagad nejauši pamanīju, ka kāds manu cītīgo darbu ir izdzēsis un atkal robeža sakrīt ar Gaujas tecējumu, tādā veidā nozogot Latvijas teritoriju.

Kā var atgriezt šo vandalismu?

Location: Tsirgumäe küla, Valga vald, Valga maakond, Igaunija

Le week-end dernier, comme annoncé, une carto party a eu lieu dans le Tarn & Garonne. Revenons sur le déroule dans ce billet.

Organisation

Sociale

Après avoir discuté avec le groupe toulousain des contributeurs d’OpenStreetMap. J’ai pris en main l’organisation d’une Carto Fête.

  1. Donc j’ai imposé le lieu, dans le Tarn & Garonne, comme j’ai assez bien argumenté sur le fait qu’il y ait peu de chance d’y avoir beaucoup de contributeurs. Que c’est une commune rurale, que ce n’est pas trop loin de Toulouse (et encore plus près de chez moi).
  2. La date, nous avons choisi mai, pour éviter la pluie et ensuite à l’aide d’un framadate, le jour - le choix étant entre le samedi et le dimanche.
  3. Ensuite, comme tout le reste, nous avons utilisé la liste de diffusion pour discuter.
  4. Quelques jours avant l’évènement, l’un des participants a proposé de créer un groupe sur Signal et personne n’a rien objecté.

Comme le début de l’organisation était assez public, nous avons été contactés par l’équipe “community” de tomtom. Ils voulaient nous aider pour cette cartofête. Nous n’avions rien à leur demander (ni pizza ni Gps et avons donc décliner l’offre d’aide).

technique

  • utilisation de la liste de diffusion
  • utilisation de Signal : avant, durant et après une fois les participants connus
  • StreetComplete le jour même, les téléphones portables pour la prise de notes, la prise de photos etc.

le déroulé

J’ai malheureusement été cloué au lit par de la fièvre et est dû me décommander à la dernière minute. Je suis encore énervé, embêter de ne pas avoir pu participer. Notre plan initial était de prendre Saint Antonin Noble val comme base et faire les villages alentours, mais il s’avère qu’il y avait assez de travail sur la ville même. Le résultat du travail ressemble à la copie d’écran ci-dessous.

Répresentation des changesets due à cette carte Fête

Location: 44.153, 1.757

Tutorial sobre mapeamento de waterways com plugin FastDraw

Oficina sobre mapeamento de feições importantes para a redução de riscos de desastres (RRD) no OpenStreetMap

Desastre no Rio Grande do Sul (Brasil) - uMap para apoiar as ações de enfrentamento

Oficina sobre mapeamento de waterways no OpenStreetMap

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

Location: -23,036, -43,470

Mapeamento de cursos d’água facilitado com o plugin FastDraw para JOSM

Dra. Raquel Dezidério Souto (IVIDES.org e YouthMappers UFRJ)

Este tutorial visa orientar a utilização do plugin FastDraw para Java OpenStreetMap Editor (JOSM), que facilita muito o desenho das feições e possibilita o traçado sinuoso, típico dos cursos d’água.

1- Instalar o JOSM https://josm.openstreetmap.de/

2 - Abrir o JOSM e instalar os plugins FastDraw e OpenData em Editar -> Preferências -> Plugins

3 - Realizar a autenticação na conta do OpenStreetMap (https://osm.org)

4 - Ainda com o JOSM aberto, em Editar -> Preferências, ativar a caixa de verificação “Modo especialista”, realizar a autenticação no OSM (item Servidor OSM) e ativar o Controle remoto. Clicar em Aceitar, para que as mudanças sejam efetuadas.

https://upload.wikimedia.org/wikipedia/commons/thumb/f/f2/Fig0_autenticacao_josm.png/800px-Fig0_autenticacao_josm.png?20240530024843

5 - Escolher uma tarefa a ser mapeada em https://tasks.hotosm.org/projects/16706, clicar em mostrar tarefas, clicar em um quadrado branco e em Colaborar. Informar seu nome de usuário e senha do OSM.

https://upload.wikimedia.org/wikipedia/commons/a/a9/Fig1_HOTOSM_TM.png

6 - No JOSM, a tarefa será mostrada com a marcação da área da mesma. Tudo o que está fora da área de mapeamento, aparece com hachuras (listras). Deve mapear apenas dentro da área.

https://upload.wikimedia.org/wikipedia/commons/0/06/Fig2_area_tarefa_josm.png

7 - Clique em um dos pontos já mapeados (pode ser o ponto de uma linha também). Copie as coordenadas em Editar -> Copiar coordenadas. (caso não tenha qualquer feição mapeada ainda, crie um ponto e copie as coordenadas).

8 - Vá no uMap com os trechos de drenagem da região da bacia hidrográfica Taquari-Antas (RS, Brasil), em https://umap.openstreetmap.fr/pt-br/map/desastre-rio-grande-do-sul-floods-2024-brasil_1064045, clique no ícone da lupa e cole as coordenadas para achar a área no mapa:

https://upload.wikimedia.org/wikipedia/commons/3/32/Fig3_procura_umap.png

9 - Ainda no uMap, diminua o zoom (no ícone “-“ ou com a roda do mouse) e procure a cidade mais próxima, para a qual haja um trecho de drenagem no menu camadas. Para o exemplo que estamos utilizando, encontramos o trecho de drenagem de Sinimbu:

https://upload.wikimedia.org/wikipedia/commons/9/9c/Fig4_encontra_trecho_drenagem.png

10 - Clique no ícone de olho na camada para ativá-la e desmarque TODAS as demais camadas. Clique na seta para mostrar outros ícones (ainda no menu a esquerda) e depois, no ícone de compartilhamento:

https://upload.wikimedia.org/wikipedia/commons/3/3a/Fig5_ativa_trecho_drenagem.png

11 - Realize o download do arquivo da camada do trecho de drenagem, escolhendo o formato .gpx:

https://upload.wikimedia.org/wikipedia/commons/f/f5/Fig7_baixar_gpx.png

12 - Volte ao JOSM (que continua aberto com a tarefa que escolheu no HOT Tasking Manager) e abra o arquivo .gpx, pelo menu Arquivo -> Abrir

13 - Clique com o botão direito na camada do limite da tarefa (Boundary for task…) no painel de camadas e em aproximar para a camada. Isso fará com que o JOSM aproxime para a área de mapeamento da tarefa que escolheu no HOT Tasking Manager, no início do processo. Agora, são três camadas no painel:

  • Camada dos dados OSM

  • Camada do limite da tarefa

  • Camada com o desenho do trecho de drenagem correspondente

https://upload.wikimedia.org/wikipedia/commons/a/a0/Fig8_menu_camadas.png

14 - Selecione a camada OSM Data no controle de camadas e ative o plugin Fast Draw, clicando no ícone do lápis. Devem ser desenhadas as linhas apenas na área da tarefa. Desenhe com o Fast Draw SOBRE as linhas destacadas em lilás e pressione ENTER duas vezes para que o desenho seja finalizado. A linha assumirá a cor vermelha. Inclua a etiqueta correspondente para o curso d’agua. Pela Wiki OSM, o córrego (waterway=stream) tem a largura suficiente para que alguém salte e chegue na outra margem (~ até 3m) Tendo largura maior que isso, deve ser mapeado como rio (waterway=river). Para indicar a fonte destes dados, inclua uma etiqueta extra: source=SEMA-RS (2019). Para medir a distância, trace um segmento de reta de margem a margem e verifique a distância no rodapé da janela do OSM.

https://upload.wikimedia.org/wikipedia/commons/1/16/Fig9_icone_fast_draw.png

15 - Para verificar o sentido do fluxo do curso d’água desenhado, inclua a camada do OpenTopoMap, como imagem de fundo, no menu Camada -> OpenTopoMap. Se esta imagem estiver ruim, pode utilizar a camada OpenCycleMap. Se estas camadas não estiverem disponíveis, vá em Camadas -> Preferência das camadas. e ative as mesmas, para que apareçam no menu. Verifique as isolinhas de altitude (curvas de nível), se o curso d’água que desenhou segue da maior altitude para a menor altitude. Se estiver com o fluxo ao contrário, utilize o menu Ferramentas -> Reverter caminho (ou pressione a tecla R). Isso fará com que o fluxo fique na direção correta.

https://upload.wikimedia.org/wikipedia/commons/c/c0/Fig10_opentopomap.png

16 - Quando desenhar os cursos d’água, deve verificar também se as linhas estão conectadas (a), conforme o desenho abaixo. Caso não estejam, sobreponha os pontos finais de ambas as linhas (b) e utilize o menu Ferramentas -> Unir nós (ou pressione a tecla M).

https://upload.wikimedia.org/wikipedia/commons/2/2a/Fig11_linhas_conectadas.png

https://upload.wikimedia.org/wikipedia/commons/a/ac/Fig12_linhas_merge.png

17 - Antes de enviar os dados (upload) para o OSM, utilize o validador do JOSM e corrija os erros relacionados aos cursos d’água, como falta de conexão entre os cursos ou direções erradas de fluxo. Por vezes, o validador acusa que o “curso d’água termina sem conexão com outro curso d’água”, mas nem todos os cursos d’água são conectados. Alguns cursos terminam sem conexão a outro ou terminam em um corpo d’água, como lagoa, p.ex. Avalie caso a caso.

https://upload.wikimedia.org/wikipedia/commons/5/56/Fig13_resultado.png

18 - Após corrigir possíveis erros, realize o upload dos dados para o OSM, clicando no ícone da seta verde. Lembre de incluir os comentários sobre o que fez e indicar a(s) imagem(ens) de fundo que tenha(m) sido utilizada(s) (Bing, Esri, OpenTopoMap, OpenCycleMap etc). Não apague as hashtags que já estão incluídas, mas não comente apenas com hashtags.

https://upload.wikimedia.org/wikipedia/commons/2/22/Fig14_upload.png

19 - Após enviar os dados para o OSM, volte ao navegador, onde está aberto o projeto no HOT Tasking Manager e marque como SIM ou NÂO para “Esta tarefa está completamente mapeada?” e em Atualizar tarefa.


Referência do plugin (EN) - JOSM/Plugins/FastDraw


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Location: -30,035, -51,224

A simple "shortbread" / "VersaTiles Colorful" maplibre-gl vector map

Lots of people have written diary entries and there have been other announcements and demos. You might wonder why we need another?

The idea of this is to provide a “soup to nuts” guide in a similar style to the existing “Switch2osm” Serving Tiles guides for raster tile servers.

Introduction

There are two major pieces to this. The first piece creates a set of vector tiles that can be served by a web server. The second provides a way for clients to access that data - and clients also decide how to display it.

The code in this example is for web clients, but it’s also possible to create other sorts of clients too (for example, Android or iOS apps).

One important choice is “what data should be in in the vector tiles, and at what zoom level”. It’s not possible to have everything in OSM available at every zoom level - the size of each tile would just get impractically large. Handily, people have already created schemas that target different use cases. One general purpose one is shortbread.

That documentation doesn’t just define what data is in the tiles, it also covers how to create them. The actual software used to create the tiles is Tilemaker. The documentation of both of those is pretty much good to follow directly - what follows below is basically just a worked example.

As an example map style, I’ve used “colorful” from VersaTiles. The implementation below differs slightly from the examples on VersaTiles’ site, in order to make it clearer how it all works together; but do be aware that that site offers a lot more than just a couple of web vector map styles.

Setting up a server

As a test server I chose a CAX21 at Hetzner - that has enough memory and disk for the worked example below, and is relatively cheap (€0.25 a day or so). Other cloud providers are available; and of course machines with this sort of specification is going to be available to many people locally too.

I chose Debian 12 as the operating system, selected IPV4 + IPV6, added my ssh keys, made a name up, and added that as a fully qualified domain name to my DNS. I then created a non-root account for “normal” usage and added it to the “sudo” group. I turned off password access to ssh and forced all logins to use ssh keys.

I installed some initial software

sudo apt install emacs-nox mlocate screen git tar unzip wget bzip2 apache2 socat net-tools curl

In that list “emacs-nox” is just my preferred editor and “socat” is used when obtaining an SSL certificate for the web server which we’ll cover below. They’re just peripheral to serving tiles.

At this stage browsing to “http://myserverFQDN” (obviously use your name instead of the text “myserverFQDN”) should display an “it works” page.

sudo apt install postfix mailutils

Also peripheral to the main job in hand, “postfix” is a mail server and “mailutils” provides command-line mail access. These are useful on a remote server for reporting when e.g. scripts have failed, but are less essential if the server is local. When installed, postfix asks how mail should be sent (“Internet Site” in this example) and what the mail name should be (I used the FQDN from earlier).

With an internet-facing server with a known name it’s easy to obtain a free SSL certificate using a service such as Letsencrypt or ZeroSSL. I used acme.sh for this, but there are lots of other options. Once I had the certificate files I then ran:

a2ensite default-ssl
a2enmod ssl

and edited “/etc/apache2/sites-enabled/default-ssl.conf” to add

SSLCertificateFile      /root/.acme.sh/myserverFQDN_ecc/fullchain.cer
SSLCertificateKeyFile   /root/.acme.sh/myserverFQDN_ecc/myserverFQDN.key

below “documentroot”, and then ran “systemctl reload apache2”.

Browsing to “https://myserverFQDN” now works without an SSL error or warning. I set up an iptables firewall to block access that I didn’t want but allow e.g. web and ssh traffic, over both ipv4 and ipv6. Various online guides exist, including this one. When you’re happy that both ipv4 and ipv6 are configured correctly:

sudo apt install iptables-persistent

and say “yes” to saving both ipv4 and ipv6 rules.

Shortbread and Tilemaker

When logged in as the non-root user you created above, we’ll need to install some prerequisite software:

sudo apt install gdal-bin apache2-dev libsqlite3-dev

and then obtain some other software that needs building. First, “mod_mbtiles” is an add-on to apache to allow it to server vector tiles.

cd
mkdir src
cd src
git clone https://github.com/systemed/mod_mbtiles
cd mod_mbtiles
sudo apxs -lsqlite3 -i -a -c mod_mbtiles.c
sudo systemctl restart apache2

Next, get shortbread-tilemaker, which defines the schema that we’re using - it comes with the rules that Tilemaker will follow.

cd ~/arc
git clone https://github.com/shortbread-tiles/shortbread-tilemaker

and then Tilemaker itself

cd ~/src
git clone https://github.com/systemed/tilemaker

Now we need to build tilemaker locally as described here.

sudo apt install build-essential libboost-dev libboost-filesystem-dev libboost-iostreams-dev libboost-program-options-dev libboost-system-dev liblua5.1-0-dev libshp-dev libsqlite3-dev rapidjson-dev zlib1g-dev
cd ~/src/tilemaker
make
sudo make install

Next, download some data. I’m going to use “Britain and Ireland” from Geofabrik. At the time of writing this (just) fits into this specification of server.

cd
mkdir data
cd data
wget https://download.geofabrik.de/europe/britain-and-ireland-latest.osm.pbf

We need some “background data” - there’s a script to get that in the “shortbread-tilemaker” directory:

cd ~/src/shortbread-tilemaker
time ./get-shapefiles.sh

We can now run tilemaker. The bounding box here covers most of Europe (it needs to be bigger than our data download area). Generating tiles for the whole world takes much longer so we won’t do that. Use Geofabrik’s tile calculator to choose appropriate values.

cd ~/src/shortbread-tilemaker
time tilemaker --config config.json --process process.lua --bbox -11.39,48.44,2.28,61.36     --input ~/data/britain-and-ireland-latest.osm.pbf  --output ~/data/shortbread-tiles.mbtiles

When generated, copy the tiles into the web server drectory

sudo cp ~/data/shortbread-tiles.mbtiles /var/www/html/

and edit your appache config files (by default, “000-default.conf” and “default-ssl.conf”) to add:

MbtilesEnabled true
MbtilesAdd shortbread-tiles /var/www/html/shortbread-tiles.mbtiles

below “DocumentRoot”, and restart apache.

VersaTiles Colorful

One of the examples listed above, Paul’s TileKiln demo includes VersaTiles “colorful” style. We’ll fetch a copy of that and edit it to work with our tiles. As your non-root user:

cd ~/src
git clone https://github.com/pnorman/tilekiln-shortbread-demo
cd tilekiln-shortbread-demo
wget https://demo.tilekiln.xyz/shortbread_v1/tilejson.json

Open “colorful.json” in a text editor. This definition:

"glyphs": "https://tiles.versatiles.org/assets/fonts/{fontstack}/{range}.pbf",

defines where fonts (for text styles) are loaded from. It defaults to VersaTile’s own site, which is fine for the purposes of this demo. This definition:

"sprite": "https://tiles.versatiles.org/assets/sprites/sprites",

defines where all the icons on the map come from. They’re all in one big “sprites.png” file and a separate “sprites.json” file defines which one is where.

Finally, edit the line

"url": "https://demo.tilekiln.xyz/shortbread_v1/tilejson.json"

to instead read

"url": "https://myserverFQDN/tilejson.json"

(or “http” if you have not set up an SSL certificate for your website) We’ll also edit our local copy of “tilejson.json” to replace

["https://demo.tilekiln.xyz/shortbread_v1/{z}/{x}/{y}.mvt"]

with

["https://myserverFQDN/shortbread-tiles/{z}/{x}/{y}.pbf"]

That “shortbread-tiles” matches the name in the “mod_mbtiles” confguration above

Next copy “index.html” and your modified “colorful.json” and “tilejson.json” to the root of your web server “/var/www/html”. Restart apache and start a new private browser.

Browse to

https://myserverFQDN/index.html#18/54.501519/-8.190062

and you should see a map!

If you don’t, then something has gone wrong. After correcting whetever it is, you’ll probably need to restart Apache and/or close your private browser and restart it. Browser web developer tools (often control / shift / I), especially the “network” tab, can be helpful at understanding what has gone wrong.

Location: 54.390, -8.130
Posted by Zverik on 29 May 2024 in English.

I make Every Door to be the best on-the-ground surveying app. Its focus has always been shops and amenities, but it’s summer now! Ride a bike outside a city, take a scenic route. And bring Every Door with you, because it is ready for outdoor adventures.

Today version 5.1 has been published to both major app stores, and soon on the rest. Here’s what the app learned to do in May:

Every Door app with scribbles drawn on top of a satellite imagery

We have always had map notes, but now you can draw on the map! Saw an unmapped track road or a stream? Open the 4th mode in Every Door, unlock the scribble mode, choose the type and draw with your finger. This goes to a separate database, which you can then use in JOSM or Rapid.

Read this wiki page to learn how it works and how to add the layer to your editor.

Every Door map with a dotted blue track line on top of OSM map

To help you draw better lines and orient yourself, Every Door now shows a part of your recent track. It only records when the app is open, so use OSM Tracker or a different app or device to record your full track.

Every Door editor for a building with a "Demolished" button

Found a mapped building that’s missing on the ground? Tap it in the 3rd mode, then choose “More…” and mark it demolished with the new button! Every Door still only works with point geometries, but it would use the demolished:building tag, which is the most correct according to OSM wiki.

Opening hours editor with all messages in English, but weekdays in Estonian

On a vacation in another country? I remember how at SotM 2022 we were in Italy, and I had trouble reading opening hours for shops and restaurants. L-G? Ma, Me? Yeah no, couldn’t map that at all. But now Every Door shows weekday abbreviations in the language of the country you’re in! E is for Esmaspäev, Monday in Estonian.

QR Code button near the website field

Typing in website addresses is tedious, and even more frustrating when a QR code is right there. Now there’s a button for scanning the code! It automatically sorts the URL into the proper tag, be it contact:instagram or just website. Maybe someday it could parse text from photos as well…

Amenity editor for Jysk with two unchecked floors: 1 and 2

I use Every Door to quickly survey hundreds of amenities, and this one thing has been bugging me: for every new building I had to enter both addr:floor and level tags, remembering how floors are numbered in the country. Now Every Door looks around and suggests values, so you can mark the shop’s floor with a single tap.

These are just the highlights of numerous changes that went into releases 5.0 and 5.1, published in May. Read the full list in the changelog, or just go ahead and update the app.

If you’re new, the official website is the place to start. Download the editor and go map something!

Two months later I’ve made my way deeper into a lot of OSM development of the last decade, learning changeset comments, OSM notes, catching up with recent tagging style and trends and using street imagery tools.

I tried to fix issues documented in OSM data as well as from the OSM notes map layer. After some quick wins I got challenged by tasks like merging dozens of tags and bus relations when merging split directions of Schandauer Straße in Pirna back to ‘ground truth’ - a 4/5-lane marked primary town highway. Destination tagging had been try-n-error before stepping into OSM community forum. That opened a wide pool of expertise and discussion supplementing the more authoritative wiki documentation, especially tools for reconstruction/QA of destination tags into visual form of road signs.

Tempted to photo-document rather than note down observations I joined Mapillary street imagery. It feels like a great tool for cheap document including sharing recent changes and situation in the field to fellow mappers. Despite of my rather basic equipment - mapillary app on mobile - I enjoyed looking at 360-degree-photograph-series of some very active contributors. These images look amazing and seem like the way to go.

Recently I made my first steps to preserving history in OpenHistoricalMap, the spin-off for information, that cannot and shouldn’t be preserved by current OSM life-cycle tagging. There is not much information in my area yet and a lot of discussion regarding rather basic mapping techniques. It feels like the pioneer days in OSM back in 2008.

More to come …

Magical world of mapping through OpenStreetMap and Wikidata

The possibilities for integration between these two platforms are incredibly vast, and I genuinely feel as if I had progressed quite a lot in the understanding and contributions I make

Date: May 20, 2024

I started my morning by getting familiar once again with OSM. I invested time in updating and linking the wards in Kerala with Wikidata. I noticed that there was some wards in OSM that are not linked to Wikidata and some issues with the names and ward numbers. Using Sparql query I downloaded the Qids from Wikidata and using QGIS I downloaded the OSM relations ids. Then using OpenRefine I cleaned up the data and matched the OSM and Wikidata entries. Using JOSM, I added the Qids to OSM relations.

” Ferramentas de Boas Vindas no Openstreetmap”

Olá a todos os Mapeadores Brasileiros.  Teremos uma oficina com o Angoca da Colômbia amanhã, dia 28 de Maio de 2024 para mostrar como se usa a ferramenta de boas vindas para novos mapeadores e como convidá-los para a comunidade brasileira do openstreetmap e os grupos locais. 

Palestrante Angoca - Colômbia.Mediadores

Raphael de Assis - Umbraosm - Brasil.

Mediadores - Rodrigo Smarzaro - Youthmappers - Brasil.

Data: 28 de Maio de 2024. hora: 19:00hs - UTC-3 Horário de Brasília. 

link da Oficina: https://www.youtube.com/watch?v=4EYc5Rh5L5s

A Oficina é aberta a todos que querem aprender a usar essa ferramenta para dar boas vindas aos novos mapeadores em todo o brasil e no mundo. Ferramenta https://welcome.osm.be/

Atenciosamente,

Raphael de AssisPresidenteUMBRAOSM - União dos Mapeadores Brasileiros do Openstreetmap  site da UMBRAOSM, www.umbraosm.com.br contato@umbraosm.com.br 

Location: -8,062, -34,885
Posted by Juicio on 27 May 2024 in English. Last updated on 31 May 2024.

Panoramax

Panoramax view feature improves map exploration and gives users access to 360-degree imagery that enhances the mapping process and gives important visual context.
The community gains access to a potent tool that improves map visualization and encourages increased engagement and participation in the mapping process.
Live images can provide a lot of information that can be hard to determine, such as the weather or the terrain condition.

Introduction

Hi I’m Mattia, one of the Google Summer of Code 2024 contributors. This journal will be updated weekly based on what is happening. If you want to see the individual stages you can check out the osm wiki. You can check the WIP code here

Week 1 (27/05 - 31/05)

This first week the focus was to understand how iD codebase works and how the already implemented street level service operate. In reality, things moved a little faster than anticipated.

After the first week we have a semi-operational environment:

  • The dot is displayed with the header cone.
  • Sequences are shown and bubbles of the same sequence are linked.
  • Panoramax flat images are displayed in the panel when the corresponding point is clicked.

Next week will focus on:

  • Implementing 360 images
  • Being able to move between images
  • Refactoring and checking the code for smells
  • Checking if the API is being used correctly