I nominated the new voting members about 49 of them to become HOT voting members.

I supported my Chapter members with internet data subscription through the help of Mr. Victor Sunday.

I am a co-founder of Oyomappersteam of Uniquemappers network Nigeria. I have trained participants on Missing Map and how to use id editor to map in Open Street Map.

OSM日本コミュニティでは、Plateau建物データのインポートを行うかどうかについて、議論を行ってきました。 user:nyampireは、コミュニティの意見を広く集めるためにアンケートを行い、その結果を公開しました。

全体的な結果についてはOSM wikiに記載されていますが、ここではその結果を少し深堀りしてみたいと思います。

反対・懸念表明の割合

アンケートのなかで、明確な反対、あるいは一定程度の懸念を表明している割合は、以下のとおりです。

票数	回答
4	条件付きで賛成
1	GMLファイルをOSMファイルに変換するcitygml-osmの仕様についてより煮詰め、かつOSM関係者に説明することを条件に賛成
6	タイムスタンプは活用すべきである。ソースの写真が古いというのは些細な事。むしろ新しい建築物がインポートで消える方が大ごとです。
4	第1バッチをさらに分割し、ナレッジを蓄積しながら第1バッチを段階的に実施するなら賛成する。
1	反対

合計16回答（全75回答, 21.3%）

今回は、これらの方々の属性や意見をもとに、簡単な分析をしてみたいと思います。

マッピング経験年数

反対・懸念を表明しているかたのペルソナを推測するべく、まずはマッピング経験年数から見てみましょう。

票数	割合	アンケート全体の割合	回答
3	19%	20.8%	10年以上
7	44%	29.2%	5年以上10年未満
3	19%	34.7%	1年以上5年未満
2	13%	9.7%	6ヶ月～1年未満
1	6%	5.6%	6ヶ月未満

Q5. 全体傾向

全体傾向と比較して、“5年以上10年未満”の方が多く（29% -> 44%）、 “1年以上5年未満”のかたが少ないことが見て取れます。（34% -> 19%） 10年以上などその他の選択肢は5%程度の違いであり、概ね許容誤差程度の範囲ですので、有意とは言えないでしょう。

5年以上10年未満といえば、だいたい2012年〜2017年頃になります。 これは東日本大震災が発生し、Yahoo!Japanデータインポートが一段落（2015年）した頃にスタートした方、ということです。 インポートによって作成された品質の低い道路の修正や、その頃まだそこまで高品質ではなかった衛星写真を利用して地道に建物を描いてきた方、ということができるでしょう。

そうした方々が建物形状の入れ替えについてどのような印象を持っているか、割合をみてみましょう。

建物形状入れ替えへの反応

票数	割合	アンケート全体での割合	回答
2	12.5%	44.4%	積極的に賛成（入れ替えて欲しい）
8	50.0%	44.4%	どちらかといえば賛成
4	25.0%	8.3%	形状の入れ替えはNG、新規形状の追加やタグの追加はOK
1	6.3%	1.4%	どちらかといえば反対
1	6.3%	1.4%	積極的に反対（入れ替えは絶対NG）

Q3. 全体傾向

“積極的に賛成（入れ替えて欲しい）”というかたが有意に少ない（44% -> 12%）ことが見て取れます。 また、“形状の入れ替えはNG、新規形状の追加やタグの追加はOK”、のかたが多くなっています。（8% ->25%） 反対の理由のひとつとして、少なくとも形状の入れ替えには、大小なりの抵抗があるようです。

… See full entry

• basic_hut : 일반적인 오두막, 움막
• changing_rooms : 탈의실
• field_shelter : (특히 들판 같은 곳에서)악천후(특히 비, 바람)를 피하기 위한 간단한 모양의 시설물
• lean_to : 캠핑을 목적으로 일반적으로 세 개의 벽이 있는 창고. 필요하면 먹고 잘 수 있을 정도의 바닥과 시설
• gazebo : (일반적인)정자(동양의 경우에는 바닥이 마루, 서양의 경우에는 좀 깨끗하게 유지되는 바닥) cf. picnic_shelter
• pavilion : 좀더 건축물의 느낌(짧게 설명하기에는 좀 복잡). 영어권에서는 좀 간소한 양식부터 좀 복잡한 양식까지 두루 쓰는 느낌. 간소한 모양의 쉼터나 간소하고 열린 건물 등. 여러 건물 중 개별 혹은 부속 건물 중 하나를 일컬을 때도 쓰는 듯. 건축에서 파사드의 돌출 요소로 약간 탑 같은 느낌. 크고 정교한 텐트를 이르기도 한다고…(너무 제멋대로잖아~? ㅡ.ㅡ)
• picnic_shelter : 나들이에서 비, 햇볕을 피하기 위한 시설. ‘gazebo’와 비슷하지만 흙신을 신고 올라갈 수 있거나 간단한 의자 시설만 있는 게 차이
• public_transport : 대중교통을 기다리면서 잠깐 쉴 수 있는 간이 대피 시설
• rock_shelter : 바위 아래 악천후를 피할 수 있는 대피 공간
• sun_shelter : 앉아서 햇볕만 피할 정도의 간이 대피시설. cf. Wetterpilz
• weather_shelter : 악천후를 피할 수 있는 간단한 구조의 시설물. 모양새는 비슷하지만 ‘field_shelter’보다는 좀더 간이. 일반적으로 먹고 잘 만한 곳은 아니고 악천후를 피하기만 할 정도.(마루가 없다거나…)

• Wetterpilz : 그야말로 잠깐 서서 햇볕만 피하는 정도.(한국의 건널목에 있는 폭염대피양산?)

• shelter_type=*

‘징검다리’의 경우 ‘highway=footway’ 가운데 징검다리 부분에 ‘‘길’[way]에서 ‘구조물’ 속성은 ‘여울’로 하고, ‘유형’에 ‘stepping_stones’ 속성, ‘노면’에 ‘stepping_stones’을 준다.(태그로는 ‘ford=stepping_stones’, ‘surface=stepping_stones’로 한꺼번에 속성을 줄 수 있다.)
길[way]에서 뿐만 아니라 노드[node]에서도 물길과 만나는 지점에 ‘여울’ 속성을 확인.(ford=yes)

한국에서 교통정책을 맡고 있는 경찰청에서 보행자우선도로를 지정하고 있으나 몇 가지 까닭으로 정착이 안 되고 있다는 보도가 있습니다.
‘보행자우선도로’는 보행자와 차량이 섞여 다닐 수 있는 길로, 단순히 천천히 달려야 하는 ‘주거도로’나, ‘도로’이지만 보행자만 다닐 수 있는 ‘보행자전용도로’하고는 다르게 보행자가 도로 전 구간을 차지하고 걸을 수 있으며 차량은 천천히, 보행자와 거리를 두고 지날 수 있는 곳입니다.
찾아보니 ‘보행자우선’길에는 ‘주택가거리’와 같은 ‘highway=living_street’ 태그를 붙여야 하고 속성에서 ‘도보’와 ‘자동차’에 ‘yes’ 값을 주어야 하는 것 같습니다.
반면 ‘보행자전용도로’에는 ‘highway=pedestrian’, ‘주거도로’는 ‘highway=residential’ 태그로 서로 구분이 됩니다.

(혹시 제가 잘못 알고 있거나 덧붙일 것이 있으면 알려주시면 고맙겠습니다.)

This is my first journal entry on OSM diary. Exciting. Alright, RTK GNSS units are amazing. You can use them in so many different applications, both professional and hobbyist (try doing a quick search on your favourite search engine for example applications)… but they are expensive.

This is how you DIY your own real RTK! You will need to have some knowledge of bash, python, the fundamentals of GNSS, and some interest in troubleshooting.

You will need

1. Two U-blox ZED-F9P GNSS receivers. This is the module behind the processing. You can configure this in many ways, i.e., using a board of your choice. I will be using an ArduSimple board.
2. A radio module. This will be used to communicate between the rover and base over some distance.
3. Power supply. You can use a power bank here.
4. A Raspberry Pi. I will be using a Raspberry Pi Zero W. You can use any device given that it is capable of connecting to a WiFi network.
5. Jumper cables. Male to male and female to female.
6. OTG cables.
7. USB A cables and maybe USB C cables depending on the type of Raspberry Pi you will be using and the type of smartphone you will have.
8. An android smartphone. …we are almost done with the list…
9. An SD card.
10. Two multi-band antennas.

Last, I should mention that this project will be considerably cheaper than the commercially available options. More on this in the coming sections. I will detail how to make the connections to all the devices and maybe the software setup.

Hello everyone.

Recently, I’ve been trying to map National Recreation Trails in OSM. the NRT program will designate a ‘system’ as a national recreation trail, generally meaning all of the trails within a park or other public land.

I want to represent this on the map, but it seems to be beyond the scope of the type=route relations.

I’ve been considering using this: osm.wiki/Relation:network to try and represent these, but I ran into problems with this as well. I tried interpreting the documentation, but it was written so confusingly that I could not understand how to use this relation on the map at all. I asked on the talk page, but I’m still confused on the meaning of this relation.

Additionally, there are National Recreation Trails designated to places serving ATVs or ORVs. I don’t know if this is some redneck thing that the Europeans don’t have or what, but there was no documented tag for ATV or ORV paths on the wiki. so I also created the page route=atv. I’ve been working on expanding this page as well.

Right now I’m using type=route for these system NRTs, but I feel that it’s probably incorrect and I’d love input from others.

Thanks, SherbetS

This is an osm.org logout link. Don’t click it:

osm.org/logout

Hi everyone, my name is Tareq Al-Ahdal. I am a computer science undergraduate student at Universiti Teknologi Malaysia. Recently, I got accepted into Google Summer of Code 2022 as an open source contributor with OpenStreetMap. I will work this summer on enhancing Nominatim: OpenStreetMap’s geocoding software that enables us to search and find location addresses based on their names and vice versa.

Nominatim is currently using a computed importance value to rank the search results based on the location’s perceived importance. This importance value is derived from the popularity of the Wikipedia article of each location. However, not every location on earth has its own Wikipedia article. As a result, the locations that do not have their own Wikipedia articles will not have an importance value, thereby the ranking of the search results, in that case, is deemed inaccurate. OpenStreetMap has data regarding the number of times users accessed each location on the map. This data is a good indicator of how popular a place is. The aim of my work is to integrate this data into Nominam’s computation of the importance value so that the search results become more accurate which will help the users find the correct places that they are looking for in less time.

I will use this diary to keep you updated about my work. Please feel free to reach out if you have any questions regarding my work or anything else you have in mind.

This is a cross-post from my blog

Microsoft released a machine-generated dataset of building footprints for the United States some years ago. The footprints are derived from aerial imagery. This works well, most of the time. Where you run into problems is in rural areas, especially where there’s natural features and topography that throws the machine learning off. Then the machine starts to think all kinds of things are buildings:

… See full entry

Started today

This month is powered By A & N Electric Cooperative https://www.anec.com/

Started at; May. Ended at: AUG 20 2022

Let’s add the Grande Anello Di Arquata bike route uploaded by user Carlitos2502.

@Carlitos2502/traces/4073867

A number of transit agencies in the greater Baltimore region have overlapping service areas, and as a result some stops are shared between operators and/or networks. Typically what this looks like is multiple signs will be fixed to the same post for the different services, and usually the stop will have a different reference number within the systems it serves. If there is a shelter, it is operated by just one of the agencies that uses the stop.

Locally, the Maryland Transit Administration (MTA) stops are the most thoroughly mapped, and functions as the “primary” operator for the region, with connecting agencies often functioning as supplements to it rather than alternatives. In auditing the bus stop information on the map, I had initially thought adding shared stop information to a highway=bus_stop node would involve using operator namespaces like ref:MTA= so that it is clear which agency uses that stop number. The distinction between a shared stop node and two different stop nodes for overlapping services seems like an important one, as in some cases an overlapping service can have a stop very close to another rather than sharing one. This can make a difference in the logistics of connecting between services or assessing some of the finer details of bus stop placement.

… See full entry

Кожен крок повинен бути корисним.

Як зробити незабутніми і одночасно корисними поїздки автівкою?!

За кермом часто трапляються ситуації, які хочеться залишити в пам’яті. А ще трапляються місця, до яких згодом хотілося б повернутися і більш детально вивчити.

Тобто маємо потребу в інформації про місце і про об’єкт. Інформацію про місце можна отримати, якщо записати координати. Інформацію про об’єкт можна отримати за допомогою фотографування або відеозйомки

У кожному з цих випадків допоможуть Street Level Photos проєкти. Надаю перевагу Mapillary, це якщо обирати також серед KartaView та Trek View. Фактично, в пасивному режимі отримуємо і фото і трек, за рахунок геоміток у фото в постійному режимі зйомки.

Під час військового стану в Україні заборонено використання відеореєстраторів та зйомка доріг загального користування, тому зйомку для цілей Mapillary краще і безпечніше вести навіть в іншій країні.

А якщо ще й зйомка доріг проводиться вперше на певній ділянці — це взагалі чудово. Таке собі полювання за унікальними даними. Тож невеличка поїздка вдень Словаччиною до Польщі і сонячна погода, коротший маршрут довжиною 160 км гірськими дорогами. Тому навіть більш цікавий.

Декілька недоліків — рух майже проти сонця та зйомка з салону авто.

Камера закріплена біля дзеркала заднього виду. Частота зйомки 2 кадри на секунду в режимі Time lapse photo. Торпедо накрите темною матовою тканиною.

Колеса крутяться — фоточки мутяться)))

Вперше була відзнята ділянка майже 40 км Nižná Jablonka — Hawaj,

а також Борузал — Крайня Поляна

та Дукля - Івла

А найцікавіша ділянка — новий обхід Ясло.

Цієї дороги ще навіть на супутникових знімках немає.

… See full entry

A –> To draw line S –> To select feature X-with mouse –> To extend side part of feature Ctrl + Shift with mouse –> To rotate any feature or object Q –> To make orthogonalise or perpendicular Alt + A –> To save G –> To separate the node between features

Meine bevorzugte Karte ist die OpenMTBMap. Sie ist mein ständiger Begleiter beim Wandern und Radfahren im Gelände. Ästhetisch ist sie - sagen wir es so - gewöhnungsbedürftig, aber sie informiert hervorragend.

Nur in Städten mag ich sie nicht besonders. Zu viele Details überlagern das Straßenbild bis zur Unkenntlichkeit. Was in freier Natur sinnvoll ist - die Darstellung jeder unterstützender Infrastruktur - ist in Städten kontraproduktiv. Es gibt einfach zu viel davon, die ganze Stadt ist Infrastruktur.

… See full entry

This article is also available in Taiwanese Mandarin (台灣華語) and Taiwanese Hokkien / Taigi (台文)

---

The OpenStreetMap Taiwan Community (OSMTW) is pleased to announce that it has secured an alliance grant from the Wikimedia Foundation, which has been used to purchase two Insta360 One X2 cameras with accessories, and to support related workshops scheduled from March 2022 until February 2023. OSMTW is dedicated to organising at least six street-view expeditions and six edit workshops. OSMTW members begin their journey to terra incognita of street-view by self-driving and documenting with the 360-degree camera on the rooftop. Afterwards, members will enhance OpenStreetMap data and upload photos to the Wikimedia Commons, a multimedia repository, with the post-edited expedition media.

OSMTW initiated the 1st preflight workshop on March 19, 2022, at the MozTW space in Taipei, following the maiden street-view expedition on April 24, 2022. Departing from Yangbei Redevelopment Zone (央北重劃區), the 11-people expedition team head for multiple locations in 4 vehicles, including Keelung, Jinshan, and Wanli, and recorded the sections of National Highway No. 3 having insufficient street view data. The team dropped by at the Xiandong Tunnel (仙洞隧道) to take photos at both entrances since the tunnel is currently inaccessible to the public.

Next, the team is split into two, bound for Xiandongyan (Deity’s cave/ 仙洞巖) and the Sprial Ramp (迴車塔). Xiandongyan is a Buddhist temple in a sea cave with designated Cultural Landscape status; however, the outcome is somewhat disappointing due to poor indoor illumination. The latter is a unique artificial driveway slope in Taiwan. The team later rendezvoused at the Dawulun Fishing Harbor (大武崙漁港) for replenishments; crowds were observed on the beaches even under the COVID-19 outbreak.

… See full entry

• 台灣華語版本：@s8321414/diary/399202
• English Version: @assanges/diary/399210

臺文漢字版本

開放街圖臺灣社群（OpenStreetMap 臺灣社群）誠歡喜爭取到維基媒體基金會的聯盟補助，主要欲買兩台 Insta360 One X2 相機（佮相關的配件），猶閣有規劃對2022年3月開始，一直到2023年2月的街景踏查團佮對應的編輯工作坊活動。咱欲辦理六擺實地踏查佮至少六擺的編輯工作坊。社群成員欲共360相機囥佇汽車車頂，若開車若翕360相片，翕猶未翕著街景的所在。翕了後佇咧電腦前，閣來若看翕的相片，若編輯 OpenStreetMap 共編地圖添加資料，猶有共路途中間經過的景緻佮在庄聚落，共相關相片上傳到 Wiki Commons 多媒體站。

社群頭起先佇2022年3月19號先佇台北的摩茲工寮舉辦踏查團的前導工作坊，頂個月（也就是2022年4月）24號舉辦第一改的街景踏查團，佇咧取車抑是自駕到位時，先佇咧央北重劃區安裝翕相機佮試翕，4台車攏總11个人出發欲去基隆、金山、萬里等行政區，其中翕國道三號部份欠缺街景的路段。路途當中佇仙洞隧道歇停，毋過干焦翕磅空兩爿的磅空口，磅空本體目前是無法度入去的。閣來一陣人分做去仙洞巖佮迴車塔。仙洞嚴彼組是入去廟內的一線天，不而過燈火較暗翕的效果無蓋好。迴車塔彼組是翕台灣較罕得看的人工車道斜坡。後來咱去大武崙漁港附近會合，歇睏時補充熱量佮水份，仝一个時間觀察週末的海沙埔佇疫情影響之下，嘛是有足濟民眾佇海沙埔耍水。

中晝佮下晡時間去金山老街等所在踅踅，佇水尾漁港揣食的佮踏查取材。猶有到金山老街品嘗芋圓美味了後，閣兵分多路轉去台北。

OpenStreetMap 台灣預計佇本月（2022年5月）22號仝款佇摩茲工寮舉辦第一次的街景踏查團編輯工作坊，活動當中會利用事先上傳到 Mapillary、KartaView 等開放的街景網站的相片來編輯 OpenStreetMap（變更集將會帶有 #streetsurveyTW 主題標籤），嘛會對翕的相片當中揀選部份景點抑是維基媒體計畫中無照片或當地相片真舊猶未更新，共新翕的相片上傳到維基共享資源，仝時嘛會當利用上傳到維基共享資源的相片來編寫維基百科、維基導遊抑是維基數據等維基媒體專案。歡迎有興趣的人報名參與！

咱向望開放街圖佮維基媒體等等開放內容的計畫會當愈來愈好，產出閣較濟高品質的資料！

有關聯盟補助的代誌

2021年第四季時，維基媒體基金會公佈新的補助方案：維基媒體聯盟補助，這項補助會資助佮維基媒體計畫有關的專案，毋過並毋是各地的維基媒體自治體提出的提案。

有關 OpenStreetMap 臺灣的代誌

OpenStreetMap 臺灣由臺灣關心投入 OpenStreetMap 的編輯者構成，自 2010 年開始對個人獨編輯變成集合閣較濟人參與的共編地圖專案的在地社群。目前佇臺灣有佇台北佮 Wikidata 社群共同舉行 OpenStreetMap x Wikidata 月聚，嘛有不定期的踏查活動。

本文感謝 Supaplex 協助校對並翻譯成台文版，英文版由 assanges 翻譯，並以姓名標示-相同方式分享 4.0 國際授權。

Tâi-lô pán-pún

… See full entry