OpenStreetMap User's Diaries
Super fat boy faggot's house
12405 rubber fig jax fl
12405 rubber fig jax fl
12405 rubber fig jax fl
12405 rubber fig jax fl
OpenStreetMap Blogs12405 rubber fig jax fl
12405 rubber fig jax fl
Writing the script or speech then heading out station. I need hotel for two night. At the one you bring your guests. New York, Manhattan’s wherever my senses go. I boarding pass please? I will be at Atlanta Airport tomorrow before noon
Writing the script or speech then heading out station. I need hotel for two night. At the one you bring your guests. New York, Manhattan’s wherever my senses go. I boarding pass please? I will be at Atlanta Airport tomorrow before noon
Die KonGeoS ist die Konferenz der Geodäsie-Studierenden der Hochschulen im DACH-Raum und findet zweimal jährlich statt. Ziel ist es die Studierenden der 24 Geodäsie-Fachschaften aus Deutschland, Österreich und der Schweiz in einem fachlichen und auch persönlichen Austausch miteinander zu vernetzen. Die mehrtägige Veranstaltung ermöglicht aktuelle The
Die KonGeoS ist die Konferenz der Geodäsie-Studierenden der Hochschulen im DACH-Raum und findet zweimal jährlich statt. Ziel ist es die Studierenden der 24 Geodäsie-Fachschaften aus Deutschland, Österreich und der Schweiz in einem fachlichen und auch persönlichen Austausch miteinander zu vernetzen. Die mehrtägige Veranstaltung ermöglicht aktuelle Themen aus Studium und Beruf zu diskutieren, Fachvorträge zu hören, Erfahrungen zwischen Hochschulen auszutauschen, in Arbeitsgruppen an Themen zu arbeiten sowie das Exkursionsangebot zu Unternehmen, Behörden und Forschungseinrichtungen zu nutzen, um Kontakte zu potenziellen Arbeitgebern und Berufsverbänden zu knüpfen. Das Programm ist auf der Webseite zusammengefaßt. Die KonGeoS tourt, ähnlich wie die FOSSGIS-Konferenz, durch den DACH-Raum. Vom 15. bis 17. Oktober 2026 fand die KonGeoS an der Hochschule Mainz statt.
Beim Ausstellerforum am Freitagnachmittag informierten FOSSGIS-Mitglieder über Open-Source-GIS und OpenStreetMap und den FOSSGIS-Verein. Zahlreiche Studierende kennen schon QGIS oder OpenStreetMap, hatten jedoch noch keine Berührungspunkte mit FOSSGIS e.V., das Interesse an der FOSSGIS-Konferenz war hoch sowie auch die Sticker auf großes Interesse stießen.
Danke an Anja Eisert (Konferenzorgateam, Team Vernetzungstreffen), Robin Durner (OpenTransportCommunity, OSM), Kai-Christian Bruhn (Hochschule Mainz) und Thomas Bentler (BKG) für den Einsatz am FOSSGIS-Infostand.
FOSSGIS e.V. Infostand auf der KonGeoS an der Hochschule Mainz
I’ve recently found myself with a lot of free time without internet access, and what better to do than improve OpenStreetMap!
JOSM has the capability of “editing offline”, that being that it can download and upload OpenStreetMap data whenever you’d like so if this was simple POI editing then I’d be fine: download the OSM data beforehand in JOSM, make my edits on a blank back
I’ve recently found myself with a lot of free time without internet access, and what better to do than improve OpenStreetMap!
JOSM has the capability of “editing offline”, that being that it can download and upload OpenStreetMap data whenever you’d like so if this was simple POI editing then I’d be fine: download the OSM data beforehand in JOSM, make my edits on a blank background and then upload when I have an internet connection again.
But this leaves out aerial imagery, by default JOSM streams this from tile servers, you can look at these URLs in Edit -> Preferences -> Imagery.
The method I have found to get offline aerial imagery is based off of an old forum post which recommends using KDE Marble to download tile data, and then point JOSM at that downloaded data using a file:// link.
This method works! And is the inspiration to mine but there is one fatal flaw in KDE marble that makes it unsuitable for this - it maxes out at zoom 16, inadequate for most mapping activities. I looked in to changing this arbitrary limitation in their source code, but I instead found a much simpler solution…
Someone has (quite possible vibe-coded) a tool called MapTilesDownloader that fits the bill quite nicely. It can download to arbitrary zoom levels and, as it’s a Python script, it can be easily modified to download from imagery sources other than the ones it comes with.
It’s usage is simple: git clone the repository (git clone https://github.com/AliFlux/MapTilesDownloader.git) then install it’s dependencies: Pillow and Pyvips using pip and run it with python src/server.py and open the displayed URL in your browser. If you want to download Bing or Esri imagery then this is all you need to do, but I needed more obscure imagery.
To add custom imagery to this tool you can modify the sources dict in src/UI/main.js with an imagery URL obtained elsewhere, I got mine from the aforementioned JOSM preferences. The format used for pre-existing ESRI imagery is what most tile servers will use but you can use any of the imagery sources there as an example.
To use the imagery obtained using MapTilesDownloader in JOSM, you simply go to the JOSM imagery settings (Edit -> Preferences -> Imagery) and add a TMS source (plus button on the right) filling in the max zoom that you downloaded and then the URL is the path to the images prefixed with file://. This path is output in the console while the maps are being downloaded, for example on Linux it might be file:///home/<yourUserName>/Downloads/MapTilesDownloader/src/output/1792334342142/{zoom}/{x}/{y}.png with the last three arguments being automatically replaced by JOSM. Save and then your new imagery will be available under Imagery -> <the name you entered>
I hope this information will be of use to someone! Please don’t download too big of a bbox using the imagery downloader tool… And happy mapping!
In Hünstetten wurde der neue Radweg “TaunusRunde Hünstetter Herzen” beschildert. Die Route verbindet die östlichen Hünstetter Ortschaften.
Der GPX Track der Runde kann bei Waymarked Trails mit der Referenz HsH geladen werden.
Die Beschilderung erfolgt durch ein rotes Schild mit zwei Herzen.
In Hünstetten wurde der neue Radweg “TaunusRunde Hünstetter Herzen” beschildert. Die Route verbindet die östlichen Hünstetter Ortschaften.
Der GPX Track der Runde kann bei Waymarked Trails mit der Referenz HsH geladen werden.
Die Beschilderung erfolgt durch ein rotes Schild mit zwei Herzen.

08/10/2026-14/10/2026
shop=graffiti, for shops specialising in spray cans, markers, stickers, and other street art supplies, which have often been tagged as shop=craft or shop=paint in the past. Flappiegrrr is proposing to use leisure=graffiti_wall to record places where graffiti may be sprayed legally, and to describe individual walls using the key graffiti_wall=*.[1] Altilunium has developed ‘Know Your Mapper’, a web app that explores an OSM mapper’s editing sessions and approximate areas of activity.
The small team behind OpenClimbing: Jan Václavík, Pavel Zbytovský, and Fabian Weisshaar, have created their second bot proposal to clean up climbing-related tags in OpenStreetMap. Running with assistance from Mateusz Konieczny, the bot aims to improve the consistency and quality of OSM climbing data. OpenClimbing uses this information to power its specialised map with integrated topos for the climbing community.
Keagan van Rooyen described how he decided to contribute code to the CoMaps project and is currently working on several additional features for the Android Auto platform.
Sozialheld*innen has developed the a11y-Score, a score that makes the accessibility of public services in any chosen region comparable, based on open data from OpenStreetMap (we reported earlier). They will be presenting it at an online event on Monday 26 October 2026, from 14:00 to 15:00 CEST.
Open Energy Transition will host a one-hour webinar introducing EarthPV, a tool that combines free Sentinel-2 imagery, the TerraMind geospatial foundation model, OpenStreetMap, open building datasets and human mapping to identify rooftop and ground-mounted solar installations above 10 kWp. The webinar will present the methodology and prototype results using Pakistan as a case study, and explain how the globally applicable workflow can support other contexts and research.
Stefan Keller announced ► that there will be a PostGIS and PostgreSQL course on 5 and 6 November 2026 at OST’s Rapperswil campus in Switzerland. The two-day practical course covers PostGIS database administration, data import and conversion, spatial SQL, modern SQL features, performance tuning, and extensions such as pgRouting and pgVector.
The eighth State of the Map Latin America will take place in person in Mexico City, Mexico, from 27 to 29 October 2026. You can find the full session schedule here .
Eugene Muravjev has built an interactive 3D map of Yas Island. The map uses OpenStreetMap data for roads, buildings, parks, and shorelines, supplemented by building footprints from Overture and Microsoft, and vegetation data from Copernicus Sentinel and ESA WorldCover. Major landmarks, including Ferrari World, Yas Waterworld, Etihad Arena, and the F1 circuit plus its tunnels, are modelled by hand using photographs.
Goldilocks Map shows how many days a year the weather matches your own idea of comfortable (temperature range, humidity limit, and sunshine) for every place on Earth. The interactive map is built with MapLibre GL JS on OpenFreeMap tiles (OpenStreetMap data) and its climate numbers are checked against NOAA station records.
Historic.place has been migrated from OpenLayers 2 to Leaflet (via Forum ).
The Milan City Council’s Citizens’ Advisory Committee on Active Mobility and Accessibility has created a uMap showing all the cycle racks in the municipality of Milan.
Sven Geggus added support for shelters, except those with sleeping=no, to OpenCampingMap (via Mastodon).
The Birding Discovery team has developed birding.live, a free website that helps users discover common bird species and nearby birding locations worldwide using OpenStreetMap data.
TectonicPlateMap.org launched an global interactive web map built with MapLibre GL JS and OpenStreetMap vector tiles. The web app visualises all 52 tectonic plates from the PB2002 dataset, active fault lines, real-time USGS earthquakes, and Smithsonian GVP volcanoes.
Vienna Living Map is a free housing map of Vienna built on OpenStreetMap: Protomaps vector tiles, OSM points of interest, and cycleways. For every address it calculates the hours of direct sun per floor from OSM building outlines and the City of Vienna’s measured roof model.
Rasmus Jaakonmäki released Fontavio, an app that maps drinking water, refill taps, toilets, showers, self-service laundries, dump stations, and marina pump-outs across Europe, USA, and Canada. The data come from various sources, including OpenStreetMap, national open datasets, and places added directly by Fontavio users. Each place records its source while the OpenStreetMap data are credited under the ODbL licence.
The ALIS Project is developing ALIS, an open-source survival game set in real cities. In its latest prototype, the team has built a virtual Manhattan using Unreal Engine 5 and OpenStreetMap data, featuring 109,486 buildings, 84,096 road segments, and 28,265 trees.
Jake Low reported several MapRoulette security vulnerabilities that exposed OpenStreetMap access tokens, API keys and users’ email addresses. He took the application offline for around 15 hours, revoked all credentials and released version 4.11.0 with fixes on 7 October. Users must sign in again and re-authorise MapRoulette with OSM, but do not need to change their passwords.
OpenHistoricalMap’s vector tiles have had many improvements over the past few months, including Simple 3D Buildings, goodies for golf mappers, and non-administrative boundaries (such as time zones, dioceses, and self-governing indigenous territories). Some of these are breaking changes for existing third-party stylesheets.
Chris has been developing an AI-assisted OpenStreetMap mapping tool for Windows using Rust, Python, and WGPU for 3D features, with SAM 3 and YOLO models to detect features in satellite imagery from multiple sources, and is seeking community feedback.
Felis Pimeja has been working on the OSM Simple 3D Editor, a browser-based editor for OpenStreetMap buildings and indoor objects.
Martin Lange has developed TRAMP (Track and Route Analysis, Mapping and Planning), a free and open-source desktop application for Windows, Linux, and macOS that allows users to explore GNSS tracks and plan routes on OpenStreetMap-based maps using Valhalla or OSRM for routing and Photon or Nominatim for search.
HeiGIT introduced the Sketch Map Tool on LinkedIn, a low-tech solution to support community mapping through offline data collection, digitisation, and georeferencing of local information. The tool enables users to create and analyse paper-based maps using OpenStreetMap data and satellite or drone imagery from OpenAerialMap.
Over the past months Johan Morganti has been building a tool to explore every OpenStreetMap changeset since 2005, see trends over time, and drill down to who did what. This tool ingests OSM’s minutely changeset and diff replication from planet.osm.org, plus the full changeset history: 190 million changesets and 19 billion object changes, from 2005 to a few minutes ago.
HeiGIT announced the release of ohsome 2.0, introducing major improvements to the ohsome API, ohsome quality API, and dashboard for faster analysis and extraction of historical OpenStreetMap data. The article highlighted the new features and provided guidance for migrating from v1 to v2.0 before the legacy services are discontinued on 30 November 2026.
Safwat Halaby developed maplibre-gl-three, a library that enables developers to add 3D models and 3D tiles at geographic locations in MapLibre GL JS.
Working with voluntary and community organisations for some is a very important way to do geography. In a guide published by the Royal Geographical Society, there are case studies done in collaboration with community and voluntary organisations. The PDF is available.
Open Geospatial Solutions has developed RustGIS, a free and open-source GIS in pure Rust for mapping, analysing, and sharing geospatial data.
GMX reported how a couple got lost in Lost Dutchman State Park in the US state of Arizona after using Google Maps. The pair later called for rescue and were airlifted out by helicopter. In a similar incident, one person died in Yogyakarta, Indonesia, after a car carrying 16 people veered off the road while attempting to navigate a steep incline, following directions from Google Maps.
The United Nations Office for Disaster Risk Reduction has developed the STOP DISASTERS game. Through play, users explore how decisions about where people live, how buildings are constructed, how ecosystems are protected, and how communities prepare affect what happens when a hazard strikes. The game was originally made as part of the 2006–2007 World Disaster Reduction Campaign, ‘Disaster Risk Reduction Begins at School’.
The Tiroler Tageszeitung reported (paywalled) on a rival’s map, which has assigned names to places, mountains, and paths in Tyrol and Bavaria that nobody in the local area recognises, such as the ‘Schmusbichl’ in Kaunerberg. Local historians and the Tyrolean Nomenclature Commission are having to use old maps to fight against renaming at the click of a mouse. Donald Trump would probably welcome this as a model to follow; after all, he too has shown that a golf course can quickly be given a new name if you just have the right map in hand. In OpenStreetMap, by contrast, names continue to be assigned based on local knowledge.
| Country | Where | Venue | What | When |
|---|---|---|---|---|
| 🇧🇪 | Gent | TomTom Belgium | Maptime Ghent |
2026-10-19 |
| Missing Maps London Mid-Month for Advanced Mappers (no training provided) (Online) [eng] |
2026-10-20 | |||
| 🇫🇷 | Lyon | Tubà | Réunion du groupe local de Lyon |
2026-10-20 |
| 🇩🇪 | Bonn | Dotty’s | 205. OSM-Stammtisch Bonn |
2026-10-20 |
| 🇩🇪 | Chemnitz | Kaffeesatz, Chemnitz | OSM-Stammtisch Chemnitz |
2026-10-20 |
| 🇬🇧 | City of Edinburgh | Guildford Arms | Edinburgh Social |
2026-10-20 |
| 🇩🇪 | Online | Lüneburger Mappertreffen (online) |
2026-10-20 | |
| 🇫🇷 | MJC de vienne | Réunion du groupe local de Vienne |
2026-10-21 | |
| 🇮🇹 | Milano | Formazione Wikimedia Italia - OpenStreetMap: modifica tramite sito e tramite app |
2026-10-21 | |
| 🇩🇪 | Karlsruhe | Schwarzer Kater | Stammtisch Karlsruhe |
2026-10-21 |
| OSM US Mappy Hour: Mapping Accessible Trails |
2026-10-21 | |||
| 🇬🇷 | [Online] OSM Greece - Διαδικτυακή συνάντηση της ελληνικής κοινότητας |
2026-10-21 | ||
| pk | CUI Islamabad | Training on OpenStreetMap (OSM Pakistan) |
2026-10-22 | |
| 🇩🇪 | Berlin | Online | EarthPV: Mapping Photovoltaics |
2026-10-22 |
| 🇸🇰 | Bratislava | Prírodovedecká fakulta UK Bratislava | Missing Maps mapathon Bratislava #14 |
2026-10-22 |
| 🇮🇳 | Ernakulam | Edapally, Kochi | Kochi Mapping Party 2026 |
2026-10-24 - 2026-10-25 |
| 🇮🇹 | Bologna | Liceo Copernico di Bologna | Linux Day 2026 a Bologna |
2026-10-24 |
| 🇮🇹 | Parma | Officine On/Off Parma | Linux Day 2026 Parma |
2026-10-24 |
| 🇫🇷 | Inclu K’fé | Cartopartie à Orx |
2026-10-24 | |
| 🇩🇪 | Berlin | Wikimedia e.V. Tempelhofer Ufer 23-24,10963 Berlin | OSM Hackweekend Berlin-Brandenburg 10/2026 |
2026-10-24 - 2026-10-25 |
| 🇸🇪 | Uppsala | Datorföreningen Update | Mapping meetup in Uppsala |
2026-10-25 |
| 🇮🇳 | Noida | Noida | OSM Delhi NCR Mapping Party No.33 (Noida) |
2026-10-25 |
| a11y-Score: ein OSM-Barrierefreiheitswerkzeug |
2026-10-26 | |||
| CartONG : Mapathons en ligne 2026-2027 |
2026-10-26 | |||
| 🇮🇹 | Milano | Formazione Wikimedia Italia - OpenStreetMap: tasking manager |
2026-10-26 | |
| 🇩🇪 | Stadtgebiet Bremen | Online und im Hackerspace Bremen | Bremer Mappertreffen |
2026-10-26 |
| 🇩🇪 | Heidelberg | DEZERNAT#16 | Rhein-Neckar OSM Treffen |
2026-10-26 |
| 🇲🇽 | Ciudad de México | Antiguo Colegio de San Ildefonso | State of the Map Latam 2026 |
2026-10-27 - 2026-10-29 |
| Pravidelný Missing Maps CZ-SK online Mapathon |
2026-10-27 | |||
| 🇦🇹 | Wien | Schlupfwinkel (Kleine Neugasse 10, 1040 Wien) | 80. Wiener OSM-Stammtisch |
2026-10-27 |
| 🇬🇧 | Derby | The Brunswick, Railway Terrace, Derby | East Midlands pub meet-up |
2026-10-27 |
| 🇩🇪 | Düsseldorf | Online bei https://meet.jit.si/OSM-DUS-2026 | Düsseldorfer OpenStreetMap-Treffen (online) |
2026-10-28 |
| 🇩🇪 | Würzburg | FabLab Würzburg | Würzburger OSM-Treffen |
2026-10-28 |
| 🇨🇭 | Rapperswil-Jona | OST RJ Gebäude 6, Rapperswil | 20. Mapathon & Mapping Party Rapperswil 2026 |
2026-10-30 |
| 🇮🇹 | Pesaro | Biblioteca-Archivio “Vittorio Bobbato” | Linux Day 2026 in Pesaro |
2026-10-31 |
| 🇮🇹 | Pesaro | Biblioteca-Archivio “Vittorio Bobbato” | Linux Day Pesaro |
2026-10-31 |
| 🇮🇳 | नई दिल्ली | Jitsi Meet (online) | OSM India - Monthly Online Mapathon |
2026-11-01 |
| 🇩🇪 | Hannover | Kuriosum | Stammtisch |
2026-11-02 |
This weeklyOSM was produced by Aphaia_JP, Elizabete, HeiGIT, MarcoR, MatthiasMatthias, Nakaner, Raquel Dezidério Souto, Strubbl, Andrew Davidson, barefootstache, derFred.
We welcome link suggestions for the next issue via this form and look forward to your contributions.
Καλησπέρα άπαντες,
Θα ήθελα να σας προσκαλέσω σε διαδικτυακή συνάντηση της ελληνικής κοινότητας του OpenStreetMap για να συζητήσουμε διάφορα θέματα περί της κοινότητας και την πρόοδο άλλων που τρέχουν ήδη.
🗓️Ημερομηνία και ώρα: Τετάρτη 21 Οκτωβρίου, 20:00
🔗Σύνδεσμος δωματίου συνάντησης: BigBlueButton
Το BigBlueButton, για όσους δεν ξέρουν, είναι το λογισμικό συναν
Καλησπέρα άπαντες,
Θα ήθελα να σας προσκαλέσω σε διαδικτυακή συνάντηση της ελληνικής κοινότητας του OpenStreetMap για να συζητήσουμε διάφορα θέματα περί της κοινότητας και την πρόοδο άλλων που τρέχουν ήδη.
🗓️Ημερομηνία και ώρα: Τετάρτη 21 Οκτωβρίου, 20:00
🔗Σύνδεσμος δωματίου συνάντησης: BigBlueButton
Το BigBlueButton, για όσους δεν ξέρουν, είναι το λογισμικό συναντήσεων που χρησιμοποιεί το OSMF. Για τη σύνδεση στο δωμάτιο, αρκεί να βάλετε το όνομα σας, δεν είναι απαραίτητη κάποια εγγραφή.
🗓️🔗Σύνδεσμος συνάντησης στο OpenStreetMap Calendar: https://osmcal.org/event/5367/
Δείτε την αντίστοιχη ανακοίνωση στο φόρουμ: https://community.openstreetmap.org/t/topic/148928
Για επικοινωνία με την ελληνική κοινότητα, στο ελληνικό τμήμα του φόρουμ του OSM, και για πιο άμεση επικοινωνία στο τσατ Element.
Σας ευχαριστώ και ελπίζω να παρευρεθείτε,
jimkats
可不能“随手一标”!
来源:国家安全部 2026年10月17日07:03 北京
mp.weixin.qq.com/s/Xri2QFc-6VPpZ6QLBaqjgw
一张看似普通的网络地图,一个出于“兴趣”的随手标注,竟可能危害国家秘密安全。近年来,随着地理信息技术的普及,“开放地图”平台逐渐走入公众视野,但其背后隐藏的国家安全风险却不容忽视。
一个“爱好”带来的麻烦2021年,许某在社交媒体上被一张带有艺术风格的路网地图所吸引。出于好奇,他开始接触境外开放地图平台,并违法“翻墙”访问。许某凭借对居住地周边环境的了解,以及从互联网搜集的公开信息,开始在境外开放地图平台上标注各类地理信息,多次标注军队等涉密敏感单位的位置信息。国家安全机关发现许某违法行为后迅速采取行动,依法对其开展审查。面对审查,许某懊悔道:“我完全没想到
可不能“随手一标”!
来源:国家安全部 2026年10月17日07:03 北京
https://mp.weixin.qq.com/s/Xri2QFc-6VPpZ6QLBaqjgw
一张看似普通的网络地图,一个出于“兴趣”的随手标注,竟可能危害国家秘密安全。近年来,随着地理信息技术的普及,“开放地图”平台逐渐走入公众视野,但其背后隐藏的国家安全风险却不容忽视。
2021年,许某在社交媒体上被一张带有艺术风格的路网地图所吸引。出于好奇,他开始接触境外开放地图平台,并违法“翻墙”访问。许某凭借对居住地周边环境的了解,以及从互联网搜集的公开信息,开始在境外开放地图平台上标注各类地理信息,多次标注军队等涉密敏感单位的位置信息。国家安全机关发现许某违法行为后迅速采取行动,依法对其开展审查。面对审查,许某懊悔道:“我完全没想到,自己只是出于爱好做点标记,竟会触犯法律,威胁国家安全。”国家安全机关向其宣讲了相关法律法规,讲明了其行为的危害性,并依法对其进行处理。许某表示已深刻认识到错误,并积极配合消除隐患。
“开放地图”一般指数据开源、可自由使用与编辑的地图项目,经常由全球志愿者共同创建、编辑并免费共享地理数据,在碳中和、城乡交通建设、灾害风险评估研究等方面具备相应应用价值。但如果在开放地图平台上标注我国涉密敏感地理信息,就有可能被不法分子利用,对我国家安全造成危害。不法分子无需动用复杂的技术手段,仅凭开放地图便能轻易获取我国涉密敏感单位的位置、规模等信息,并据此在军事基地等涉密敏感单位附近开展“黑飞”、偷拍、测绘等活动。境外间谍情报机关还可能结合其他渠道获取的信息进行多源数据交叉比对,拼凑成完整情报,甚至还可能对涉密单位工作人员以及周边居民、商户等人员开展针对性的渗透、拉拢和策反活动,对我国家安全构成严重威胁。
《中华人民共和国保守国家秘密法》《中华人民共和国测绘法》《公开地图内容表示规范》等法律法规划出清晰底线:个人或者组织非法获取、持有、提供、利用属于国家秘密的地理信息的,将被依法追责。开放地图不是个人兴趣的“涂鸦板”,看似无心的标注可能触碰国家秘密“红线”。
——绷紧“安全弦”。增强国家安全意识,不在地图平台标注任何涉及军事基地、涉密单位的地理信息。
——把好“出口关”。不在社交平台发布涉密场所周边照片、视频,拍照前留意背景是否涉及敏感场所,不转发、不扩散任何标注有涉密地理信息的地图内容。
——当好“守护者”。如发现在公开地图标注涉密地理信息等危害国家安全的可疑情况,请及时通过12339国家安全机关举报受理电话、网络举报受理平台(www.12339.gov.cn)、国家安全部微信公众号举报受理渠道或者直接向当地国家安全机关进行举报。
I made this fun little editing showcase! Enjoy!
Music: www.audionetwork.com/browse/m/track/after-the-fall_84169
Motion extraction tutorial: youtu.be/NSS6yAMZF78?t=226
I made this fun little editing showcase! Enjoy!
Music: https://www.audionetwork.com/browse/m/track/after-the-fall_84169
Motion extraction tutorial: https://youtu.be/NSS6yAMZF78?t=226
Er is hier nog veel te doen:
Er is hier nog veel te doen:
Ook in de buurt, laat het me weten
In this edition of our OpenStreetMap interview series, we spoke with Sofia Pahaoja, creator of Touch Mapper, a project that uses OpenStreetMap data and 3D printing to create tactile maps for visually impaired people.
I’m Sofia Pahaoja, a Finnish software engineer. I’ve been programming since I was young. I’d known about OpenStreetMap for a long time, but hadn’t used it much until I started working on Touch Mapper about ten years ago.
Touch Mapper is a website where you can create tactile maps for visually impaired people for free, if you print them yourself. Both 3D printing and embossing on paper are supported.
I created Touch Mapper because my partner was visually impaired, and spending time with her made me realize that there were virtually no usable tactile maps for that group of people, and that creating them from OpenStreetMap data wouldn’t be that difficult.
We were on vacation in Rome, and I wanted to explain to her the layout of the neighborhood around our hotel. But words couldn’t really convey it. About all I could say was, “It’s a maze of narrow streets.” There are simply no substitutes for a map, be it visual or tactile.
For many visually impaired people, being able to explore an area using a map offers an entirely new way of understanding their surroundings. A tactile map can be extremely useful in practical ways, but it can also offer the same joy that anyone might get from studying a map out of curiosity.
She was enthusiastic about the idea of Touch Mapper and played an important role in testing it throughout the initial development.
As far as I knew, there weren’t any other practical sources of map data besides OpenStreetMap. Google Maps existed, of course, but it didn’t offer the same access to reusable geographic data that I needed.
Besides being one of the few practical sources of map data, OSM has an important advantage: anyone can improve it.
Most maps generated using Touch Mapper are created by professionals who work with visually impaired people. If they find that important information is missing, they can add it to OpenStreetMap and then generate the map they need.
OpenStreetMap contains a wealth of information. Pedestrian paths are generally more important than roads for tactile maps, and sometimes those are missing. Pedestrian crossings are also important, but aren’t always mapped.
Another lesson has been that the geometry described by OSM isn’t always suitable for 3D printing. Roads and buildings can overlap, or the data may contain geometries that simply don’t make sense.
A visual map can tolerate all kinds of geometric imperfections, because it’s ultimately just drawing shapes on a screen. But a 3D-printed map needs to consist of physically valid, printable solids. Overlapping shapes, tiny gaps, and other geometric inconsistencies can cause problems when generating a printable model.
In practice, most of these issues can be handled automatically, but it requires treating the data as something that may need cleanup, and using heuristics to make tiny adjustments to the geometry.
Generally, the biggest problem is simply missing data, whether that’s buildings, roads, or pedestrian paths. Users rarely complain about this, though. My impression is that they don’t expect the underlying map data to be perfect.
One important limitation is indoor mapping. Many practical needs of visually impaired people involve navigating indoor spaces, such as finding a particular store in a shopping mall.
Indoor spaces would probably require a rather different approach to tactile map creation. My impression is that the indoor mapping data available in OSM isn’t yet complete or consistent enough to make this a worthwhile addition to Touch Mapper, though I haven’t investigated the matter very thoroughly.
A recent addition to Touch Mapper is textual description of the selected area. This enables a visually impaired person to verify that they have selected the correct area for the map. But it could also answer questions such as “What points of interest are there near my home or place of work?”
Chatbots could also be an excellent interface for visually impaired people. Their text-based interfaces work well with screen readers and braille displays, allowing people to ask questions in natural language.
I’m not sure how much access chatbots currently have to OSM data, but questions like “Describe the walking route from my home to this bus stop”, “List the most important points of interest near this address”, or “Is there a park between the station and the library?” could benefit enormously from having API access or another way of querying structured OSM data.
Imagine a blind person who has just moved to a new neighborhood. They could ask a chatbot what’s around their new home, where the nearest shops and parks are, and how the streets connect to each other. They could then ask follow-up questions, gradually building a mental picture of the neighborhood without ever needing to see a map.
This would go beyond simply giving directions from one place to another. It would make exploring and understanding the geography of a place a much more accessible experience.
Indoor maps, definitely. Finding your way around a shopping mall, an airport, or a university building can be very difficult without sight, and having good indoor map data could make a huge difference.
Routing is another possibility: step-by-step walking directions designed specifically for visually impaired people. This requires more than just knowing where the streets and paths are. Information about pedestrian crossings, stairs, entrances, and other details can be essential.
More broadly, I’d like to see geographic information become something everyone can explore, regardless of how they perceive the world. Maps are traditionally visual, but the underlying information doesn’t have to be presented visually. It can be turned into tactile maps, spoken descriptions, or interactive conversations.
I hope that in 10 or 20 years, a blind person will be able to explore an unfamiliar city with much the same freedom and curiosity as a sighted person looking at a map. OpenStreetMap could provide much of the data needed to make that possible.
Thank you, Sofia! It’s inspiring to see how OpenStreetMap can help make geographic information more accessible and give visually impaired people new ways to explore and understand the world around them.
Please let us know if your community would like to be part of our interview series here on our blog. If you are or know of someone we should interview, please get in touch, we’re always looking to promote people doing interesting things with open geo data.
Im Jahr 2023 war ich, Katja Haferkorn, das erste mal auf der Smart Country Convention und hatte es kurz in einem Blogpost festgehalten.
Nach dem Besuch der diesjährigen SCCON, die vom 13. – 15. Oktober 2026 in den Messehallen Berlin stattfand, ist die damalige Vermutung “Möglicherweise macht es Sinn als Verein zukünftig in irgendeiner Weise vertreten zu sein.” von vielen Seiten b
Im Jahr 2023 war ich, Katja Haferkorn, das erste mal auf der Smart Country Convention und hatte es kurz in einem Blogpost festgehalten.
Nach dem Besuch der diesjährigen SCCON, die vom 13. – 15. Oktober 2026 in den Messehallen Berlin stattfand, ist die damalige Vermutung “Möglicherweise macht es Sinn als Verein zukünftig in irgendeiner Weise vertreten zu sein.” von vielen Seiten bestätigt worden.
Die Open Source Business Alliance (OSBA) hat einen Open Source Park organisiert und die geballte Open Source Kompetenz im OSS-Park versammelt.
Dort präsentierten sich Mitglieder der OSBA mit ihren Dienstleistungen und Lösungen.
Unter anderem war die Civitas-Connect-Community vertreten und präentierte ihre Lösung und Mitgliedspartnerschaften. Vielleicht präsentiert sich Cititas Connect auch auf der FOSSGIS 2027.
Eine für die FOSSGIS-Community interessante Initiative ist der Sovereign Cloud Stack, der von zahlreichen Dienstleistern angeboten wird.
Am Pretix-Stand hatte ich Gelegenheit mich zum Shopsystem, welches wir für die Konferenztickets und weitere Veranstaltungen einsetzen auszutauchen sowie das Team zur FOSSGIS-Konferenz nach Heidelberg einzuladen, da der Firmensitz in Heidelberg ist.
Open Source Park auf der SCCON 2026
Die lat/lon GmbH, auch Mitglied in der OSBA präsentierte sich an einem Stand.
lat/lon Gesellschaft für raumbezogene Informationssysteme mbH ist Mitglied im FOSSGIS e.V. und gab dem Verein Gelegenheit sich mit zu präsentieren sowie etwas Werbematerial auszulegen.
Der Stand war gut frequentiert, viele kamen gezielt, um sich Informationen zu Geofragen zu holen, ein Treffpunkt der FOSSGIS-Community entstand.
Das lat/lon-Team freute sich, dass Katja Haferkorn, als Vertreterin der FOSSGIS e.V. Koordinierungsstelle mit am Stand war und Fragen zum Verein und zur Konferenz beantworten konnte, u.a. ist der Oktober ein günstiger Zeitpunkt, um Werbung für die Konferenz zu machen. So manche freute sich Informatioen zum Call for Participation oder eine Erinnerung an die Einreichung zur FOSSGIS 2027 zu erhalten, die Einreichefrist endet am 01.11.2026. Es ging darum, welche Themen für die Konferenz interessant sind und was die Teilnehmenden von dieser riesigen Veranstaltung mitnehmen könnten.
Der lat/lon-Stand im OSS-Park entwickelte sich zum Treffpunkt der FOSSGIS-Community
Auf der SCCON sind viele für die Geocommunity interessante Initiativen und Institutionen vertreten. Zahlreiche große Dienstleister, insbesondere KI- und Cloudanbieter bieten ihre Dienste an und an fast jedem Stand wird Digitale Souveränität versprochen. Wer hier versucht den passenden, digital souveränen Weg herauszufinden, lässt sich vom Zentrum für Digitale Souveränität (ZenDIS), der OSBA oder dem FOSSGIS e.V. beraten.
Das Bundesamt für Kartographie (BKG) war mit einem Stand dabei und präsentiert den Digitalen Zwilling Deutschland, die GDI-DE, die GEO.KI sowie weitere Projekte.
Unbedingt erwähnt sei Smart City Wuppertal, die mit einem großen, anschaulichen Modell von Wuppertal Aufsehen dahingehend erregt hat, dass dieses sowohl die städtische Infrastruktur, wie Straßen, Schwebebahn, Wupper, Siedlugen und Wald sehr schön darstellte und auch vorhandene Geodaten über einen Projektor projeziert wurden. Damit ist es möglich Echtzeitdaten oder auch Simulatonsdaten einzuspielen, es können Hochwasser-, Schattenwurfszenarien oder die Stadtbeleuchtung eindrucksvoll dargestellt werden.
Angenommen der FOSSGIS e.V. hat einen Stand im Open Source Park und präsentiert dort sein Spielfeld und die Player. Das könnte es dahingehend erfolgreich werden, dass wir gebündelte Geo-Kompetenz für Open Source zeigen, vielfältige Ansprechpartner verfügbar wären und es auch noch Spaß macht. Dies sollte innerhalb des Vereins besprochen werden, um einen passenden Auftritt zu erreichen.
Folien zur Info zum FOSSGIS e.V. (Klick für Folien als PDF)
Pierpoint is a small town in South Dakota. It’s now mapped: buildings, sidewalks, footpaths, alleys, power poles. There is probably more micro mapping to do but it’s on the map now.
Pierpoint is a small town in South Dakota. It’s now mapped: buildings, sidewalks, footpaths, alleys, power poles. There is probably more micro mapping to do but it’s on the map now.
I’m part of a small volunteer team that runs birding.live, a free site that helps people find birds and green spaces near them. Thought it made sense to introduce how the site leans on OSM data, and to say thanks.
What we do with OSM: geocoding and place search come through Nominatim with an identifying user agent, throttled through our own proxy. Nearby parks, woods and reserves are pla
I’m part of a small volunteer team that runs birding.live, a free site that helps people find birds and green spaces near them. Thought it made sense to introduce how the site leans on OSM data, and to say thanks.
What we do with OSM: geocoding and place search come through Nominatim with an identifying user agent, throttled through our own proxy. Nearby parks, woods and reserves are place queries framed from OSM data, mostly via Geoapify’s OSM-derived layer, and walking trails come from Overpass as named route relations for hiking, foot and walking. Plain paths only ever show up if their OSM tags carry a real signal like difficulty grading or waymarking, so road connectors and farm tracks don’t pretend to be trails.
Who it’s for: the site is a five minute route into birding for beginners. You type a place, see which birds have been reported around it recently from the eBird community, and get a map of parks, reserves and named trails to walk, all credited as OpenStreetMap contributors, ODbL.
Two things we want to improve, honestly: watching how the trail queries behave in areas with patchy tagging, and starting to give corrections back once we’re confident enough to do it properly. If you’ve got pointers on Overpass named-route queries, or you spot one of our pins naming something wrongly, that kind of eye is very welcome.
If you’re curious the site is birding.live and the code is at github.com/chocobar/birding. Thanks for the years of contributor effort behind every pin on our maps.
It occurred to me that some users of OpenStreetMap data cannot read Cyrillic script, so maps lacking name:en variables (or others using Latin letters) may have difficulty reading place names, highway names, and so on. I asked Copilot for help and after a few false starts it produced a PowerShell 7 script that converts Cyrillic script to Latin script.
I downloaded a PBF file for Uzbekista
It occurred to me that some users of OpenStreetMap data cannot read Cyrillic script, so maps lacking name:en variables (or others using Latin letters) may have difficulty reading place names, highway names, and so on. I asked Copilot for help and after a few false starts it produced a PowerShell 7 script that converts Cyrillic script to Latin script.
I downloaded a PBF file for Uzbekistan from Geofabrik, used osmconvert to convert it from PBF to OSM format, then ran the script on it. The OSM file was large (> 3Gb) and the script was done in about 12 minutes. I then used osmconvert to change it back to PBF format and fed it into splitter and mkgmap.
The GMAP folder when viewed in BaseCamp looks perfect, all Cyrillic characters have been changed to Latin characters. My mkgmap style sheets call for name:en in the first instance, if available, then fall back to intl_name, and in the final instance to name. If the name is in Cyrillic it is converted to Latin letters.
I have uploaded the PowerShell 7 script to Github. It should be modifiable for any non-Latin alphabet (next I will experiment with other nearby countries, like Georgia and Armenia).
It occurred to me that some users of OpenStreetMap data cannot read Cyrillic script, so maps lacking name:en variables (or others using Latin letters) may have difficulty reading place names, highway names, and so on. I asked Copilot for help and after a few false starts it produced a PowerShell 7 script that converts Cyrillic script to Latin script.
I downloaded a PBF file for Uzbekista
It occurred to me that some users of OpenStreetMap data cannot read Cyrillic script, so maps lacking name:en variables (or others using Latin letters) may have difficulty reading place names, highway names, and so on. I asked Copilot for help and after a few false starts it produced a PowerShell 7 script that converts Cyrillic script to Latin script.
I downloaded a PBF file for Uzbekistan from Geofabrik, used osmconvert to convert it from PBF to OSM format, then ran the script on it. The OSM file was large (> 3Gb) and the script was done in about 12 minutes. I then used osmconvert to change it back to PBF format and fed it into splitter and mkgmap.
The GMAP folder when viewed in BaseCamp looks perfect, all Cyrillic characters have been changed to Latin characters. My mkgmap style sheets call for name:en in the first instance, if available, then fall back to intl_name, and in the final instance to name. If the name is in Cyrillic it is converted to Latin letters.
I have uploaded the PowerShell 7 script to Github. It should be modifiable for any non-Latin alphabet (next I will experiment with other nearby countries, like Georgia and Armenia).
Usually users add 1500–2000 map notes per day. Yesterday (2026-10-13) one user added 6175 map notes. Yesterday all users added 7717 map notes. So one user added 80% map notes (one user added four times as many notes as all the other users combined).
Usually users add 1500–2000 map notes per day. Yesterday (2026-10-13) one user added 6175 map notes. Yesterday all users added 7717 map notes. So one user added 80% map notes (one user added four times as many notes as all the other users combined).
Over the past months I’ve been building v2 of an idea I’ve had for a while: a way to explore every OpenStreetMap changeset since 2005, see trends over time, and drill down to who did what. (v1 was a prototype built on Datadog; its code is here.
Links links links, show me the thing➡️ osm-monitor.johan.sh ⬅️ ·
Code: github.com/johanmorganti/osm-monitor
♦
How does thaOver the past months I’ve been building v2 of an idea I’ve had for a while: a way to explore every OpenStreetMap changeset since 2005, see trends over time, and drill down to who did what. (v1 was a prototype built on Datadog; its code is here.
➡️ https://osm-monitor.johan.sh ⬅️ ·
Code: https://github.com/johanmorganti/osm-monitor

It ingests OSM’s minutely changeset and diff replication from planet.osm.org, plus the full changeset history: 190 million changesets and 19 billion object changes, from 2005 to a few minutes ago.
Everything is public data :)
Everything is aggregated, and everything can be filtered:

Tools like OSMCha are great for reviewing individual changesets. OSM Monitor answers different questions: trends and aggregates over the whole history, which you can then narrow down to specific editors, countries or people. It only uses public changeset metadata and diffs that anyone can download from planet.osm.org.
Every chart on the site is powered by a public JSON API (fully open for now) Docs: https://osm-monitor.johan.sh/api/docs/
Data © OpenStreetMap contributors, available under the ODbL.
Right now this runs on a laptop at my place, so expect the occasional downtime. I’ll see how much interest there is over the next few weeks and move to a proper server if people find it useful.
Feedback is very welcome: bugs, ideas, charts you’d like to see. Open an issue on the GitHub repo or reach me on any of the socials on my profile. Looking forward to hearing what you think!
I have uploaded updates to Github of my personal scripts and style sheets for making Garmin-compatible IMG files out of OSM-origin PBF files (thank you, Geofabrik!), both for Central Asia (all five countries) and for the Russian Federation.
The Russian Federation style sheets render names of highways and POIs in both English and Russian to ease searching on a GPS unit, wherever a name:en
I have uploaded updates to Github of my personal scripts and style sheets for making Garmin-compatible IMG files out of OSM-origin PBF files (thank you, Geofabrik!), both for Central Asia (all five countries) and for the Russian Federation.
The Russian Federation style sheets render names of highways and POIs in both English and Russian to ease searching on a GPS unit, wherever a name:en variable is available. Both sets of style sheets render foreign diplomatic missions as well as various other POIs that for whatever reason other providers of IMG files omit.
I found that generating individual IMG files, each with its own family-id=* number in the mkgmap script, then merging them into a single file using GMapTool, allows the Garmin nüvi to list each map individually in MyMaps, which means they can be selected and deselected individually. Since the gmapsupp.img files can be quite large and thus slow to load (and for the nüvi processor to process, especially for older models) this is very handy. The Russia map is well over 2 gigabytes, and the Central Asia map is about 370 megabytes.
My Wintel desktop has 32Gb of RAM and runs on a 12th Gen Intel Core i9-12900K at 3.20 GHz. It processed the Central Asia maps in about 3 minutes start to finish, and the Russian Federation maps in about 20 minutes. In the script I set splitter to use 4Gb of RAM and mkgmap to use 16Gb. If your box has less RAM you will have to adjust those settings and your scripts will run longer.
I asked Copilot to rate nüvi models for compatibility with mkgmap-generated IMG files. This is the table Copilot returned:
| Top‑Tier Models (Best for multi‑GB mkgmap maps) | ||||||
|---|---|---|---|---|---|---|
| Model Series | Models Included | IMG Acceptance | Max IMG Size | Routing | Search | UI Speed |
| nüvi 2xx7 / 2xx8 series | 2497, 2597, 2697, 2588, 2598, 2688, 2589, 2599, 2689 | Excellent | 2–4 GB | Fast | Fast | Fast |
| nüvi 34xx series | 3490 | Excellent | 1–2 GB | Fast | Fast | Fast |
| nüvi 35xx series | 3590 | Excellent | 1–2 GB | Fast | Fast | Fast |
| Mid‑Tier Models (Good for 0.5–1.5 GB maps) | ||||||
| Model Series | Models Included | IMG Acceptance | Max IMG Size | Routing | Search | UI Speed |
| nüvi 24xx series | 2455, 2460, 2475 | Very Good | 0.5–1.5 GB | Good | Good | Good |
| nüvi 23xx series | 2300, 2350, 2360 | Good | 0.5–1 GB | Good | Good | Good |
| nüvi 1690 / 1695 | 1690, 1695 | Good | 0.5–1 GB | Good | Moderate | Moderate |
| nüvi 5000 series | 5000 | Good | 0.5–1 GB | Moderate | Moderate | Moderate |
| nüvi 7x5 series | 755, 765, 775 | Good | 0.3–0.8 GB | Moderate | Moderate | Moderate |
| Lower‑Tier (Usable but slow; avoid >500 MB maps) | ||||||
| Model Series | Models Included | IMG Acceptance | Max IMG Size | Routing | Search | UI Speed |
| nüvi 7x0 series | 760, 770 | Good | 0.3–0.6 GB | Moderate | Slow | Slow |
| nüvi 22xx series | 2200, 2250 | Good | 0.3–0.8 GB | Moderate | Moderate | Moderate |
I have been building an interactive 3D map of Yas Island, Abu Dhabi: uaemaps.com. It is a free, non-commercial side project.
♦
Every road, building footprint, park and shoreline comes from OpenStreetMap, with building outlines from Overture and Microsoft’s open footprints and greenery from Copernicus Sentinel and ESA WorldCover. On top of that the landmarks are modelled by hand f
I have been building an interactive 3D map of Yas Island, Abu Dhabi: uaemaps.com. It is a free, non-commercial side project.

Every road, building footprint, park and shoreline comes from OpenStreetMap, with building outlines from Overture and Microsoft’s open footprints and greenery from Copernicus Sentinel and ESA WorldCover. On top of that the landmarks are modelled by hand from photos: Ferrari World, Yas Waterworld, the Etihad Arena, the F1 circuit and its tunnels.
The map follows the real sun over Yas, lights up at night by OSM’s lit and use tags, and runs traffic on the real road graph, including bridges and tunnels from OSM’s bridge, tunnel and layer tags. Each place has its own page with opening hours and links.
Working with Yas in OSM showed me a few gaps: some new venues and gates were missing or a few hundred metres off. Where I could check them on the ground, I want to fix them in OSM too.
Feedback from mappers in the UAE is very welcome.
Map: uaemaps.com · Sources: uaemaps.com/story/sources
I just updated, as at the beginning of every quarter, the statistics on the wiki here osm.wiki/Stats#Contributor_statistics_reports
(Semi-)Noteworthy is that we passed 2.5 million contributors to the map data in August and that Q3 was an all time high for a quarter. January 2017 was on a monthly base slightly better, but potentially similar to now it was due to one time effects adding up
I just updated, as at the beginning of every quarter, the statistics on the wiki here osm.wiki/Stats#Contributor_statistics_reports
(Semi-)Noteworthy is that we passed 2.5 million contributors to the map data in August and that Q3 was an all time high for a quarter. January 2017 was on a monthly base slightly better, but potentially similar to now it was due to one time effects adding up, the initial maps.me inrush and natural disaster mapping in the USA.
But what everybody really wanted to know is how things continued with DeFlock (see this discussion back in July https://en.osm.town/deck/@simon/116931222215984341) and new mapper influx:
| iD | OM/CM | DeFlock | SC | Total | |||||
|---|---|---|---|---|---|---|---|---|---|
| 2026-01 | 9982 | 70,31 % | 1568 | 11,04 % | 1205 | 8,49 % | 613 | 4,32 % | 14198 |
| 2026-02 | 10631 | 72,59 % | 1645 | 11,23 % | 1033 | 7,05 % | 513 | 3,50 % | 14645 |
| 2026-03 | 11863 | 70,22 % | 2365 | 14,00 % | 1038 | 6,14 % | 656 | 3,88 % | 16895 |
| 2026-04 | 11313 | 69,78 % | 2089 | 12,89 % | 1306 | 8,06 % | 534 | 3,29 % | 16212 |
| 2026-05 | 10979 | 67,05 % | 2221 | 13,56 % | 1532 | 9,36 % | 577 | 3,52 % | 16375 |
| 2026-06 | 12236 | 64,83 % | 2384 | 12,63 % | 2584 | 13,69 % | 580 | 3,07 % | 18874 |
| 2026-07 | 12335 | 52,90 % | 3165 | 13,57 % | 4858 | 20,83 % | 1811 | 7,77 % | 23317 |
| 2026-08 | 13487 | 53,01 % | 3410 | 13,40 % | 5364 | 21,08 % | 1908 | 7,50 % | 25441 |
| 2026-09 | 15427 | 63,65 % | 3669 | 15,14 % | 2014 | 8,31 % | 1781 | 7,35 % | 24239 |
So it seems as if peak DeFlock is already past, with the slack taken up by renewed interest in OSM in general*.
My hypothesis is this is mainly driven by the digital sovereignty movement in Europe which the US (just back from a vacation there) seems to be blissfully unaware of, but that will need some more analysis to firm up.
* if you have never seen any OSM contributor statistics before you should be aware that actual contributor retention rate, as in mappers that transition to editing over any longer time frame, is very low, typically a couple of percent for iD and one order of magnitude less or more for navigation apps and similar. As a result blips in new contributors tend to not have a large impact on long term mapper growth.
お久しぶりです。setowalkerです。
最近忙しく、あまり日記を書けていませんでした。
さて、今回書きたいことは2件です。
・尾張旭市・長久手市のバス停・バス路線のマッピングを進めています。 ・交通マップ(Transport Map)が不調?
尾張旭市・長久手市のバス停・バス路線のマッピングを進めています尾張旭市・長久手市のバス停・バス路線(名鉄バス・あさぴー号・N-バス)のマッピングをかなり進めました。 まだ把握しきれていない部分(あさぴー号の経路の一部、名鉄バスのトヨタ博物館前~長久手古戦場駅間の経路など)があるので、順次対応していきたいです。
交通マップ(Transport Map)が不調?交通マップ(Transport Map)が不調?なのか、10日前に追加したバスルートが反映されていません
お久しぶりです。setowalkerです。
最近忙しく、あまり日記を書けていませんでした。
さて、今回書きたいことは2件です。
・尾張旭市・長久手市のバス停・バス路線のマッピングを進めています。 ・交通マップ(Transport Map)が不調?
尾張旭市・長久手市のバス停・バス路線(名鉄バス・あさぴー号・N-バス)のマッピングをかなり進めました。 まだ把握しきれていない部分(あさぴー号の経路の一部、名鉄バスのトヨタ博物館前~長久手古戦場駅間の経路など)があるので、順次対応していきたいです。
交通マップ(Transport Map)が不調?なのか、10日前に追加したバスルートが反映されていません。早く解決してほしいです。
OpenStreetMap is a beautiful map, but its biggest problem is its user base. If we compare OpenStreetMap with Google Maps, we’ll notice a significant difference in the places, shops, and restaurants that appear on Google Maps but are missing from OpenStreetMap. This isn’t a flaw in OpenStreetMap, but rather a lack of users to add these places. Nevertheless, I try to contribute to the map as much
OpenStreetMap is a beautiful map, but its biggest problem is its user base. If we compare OpenStreetMap with Google Maps, we’ll notice a significant difference in the places, shops, and restaurants that appear on Google Maps but are missing from OpenStreetMap. This isn’t a flaw in OpenStreetMap, but rather a lack of users to add these places. Nevertheless, I try to contribute to the map as much as I can because it’s owned by a free community, not a monopolistic company—and that’s what these communities deserve.