Introduction

About 2 weeks ago I found San Francisco’s open data website, on it was this dataset containing 70 murals along with information about their artist and Cultural District. I used SF Mural Arts as a source for the names of some of the murals.

I’ve uploaded all the files I used for this project here. I used a spreadsheet to track my progress, the file is called “StreetSmArts_Murals_progress.ods”. You can find way IDs in column Q and notes in column S. This legend explains what each colour used in the spreadsheet means and how many murals belong in each category.

Tagging Schemes

There weren’t any tags for some of the information in this dataset so I came up with some new tags in the process.

Cultural Districts

Some of these murals are within certain Cultural Districts, which from what I’ve read on their websites are basically just a fancier version of neighborhoods that organize events to celebrate the culture of those within the district.

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绘制城市建筑物的过程中，建筑物的名称成了一个问题。比如，假如绘图者正在绘制上海浦东新区陆家嘴，当ta绘制到上海市浦东新区银城中路501号时，可以很快打上“上海中心大厦”的名字。但是并不是所有的建筑物都这么知名，往往最多只能查到一座建筑物的门牌号，而无法查到这座建筑物的名字。
当然实际上这不是什么大问题，不过是缺乏建筑物的名字而已。但是还是希望能有个渠道查找到这些信息，毕竟这是城市信息和城市记忆的组成部分。

Hello!

I’ll be working on developing Python bindings for the OSRM project for GSoC this year.

I’m pretty excited to say the least, as mapping/navigational data is something that I find genuinely fascinating and important, but also because I’ll be able to learn about working on a project via hands-on experience - with guidance from some really nice mentors.

A little bit about me - I’m most comfortable writing C++ code, as it’s the language I have used the most by far. That said, I’m also interested in all things development related, so it’ll be a good opportunity for me to learn more about bindings and the Python side of things.

Mapping the Weinsberger Berge

Inspired by Tom7 to go outside more, I set myself the goal of biking every Forestpath between Weinsberg and Heilbronn, before I will be moving avay in the Summer.

In the process I stumbled across many Tracks that need updating. Many have overgrown to the point of unusability, others are not mapped yet. One of the biggest challenges for the Forest in my opinion is deciding which Harvester Tracks should be mapped and which not. On a normal Field you wouldnt map every Tracktor Track, but in the Forest these Paths sometimes turn into paths used by the public. They are pretty volatile though. In the tree felling season they look like high traffic Tracks, very compacted, traversible by normal Trucks. But they are also not maintained, so quick to overgrow and turn very muddy to barely passable with a bike after a few days of rain.

This weekend I was able to complete the 4th of my areas and I wanted to take stock. I have driven every Path between Donnbronner Landstraße, Heilbronn and L1111. This includes the Schweinsberg, the vineyards, Köpfertal and Büchelberg. I also drove every path in Weinsberger Tal and the Waldheide between Donnbronner Landstraße, A81 and the Verwaltungsgrenze Weinsberg in the South.

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Spent Sunday going around many of the new housing estates around Congleton to survey roads, paths and house addresses. By my very rough count there have been over 3000 houses built or planned in Congleton since 2010 - this Overpass query shows the extent: https://overpass-turbo.eu/s/1pPW

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On the 1st of June, 2023, I trained about 15 newbies who just joined our local chapter on how to map using the iD editor in osm.

2nd of June, we held a coordination meeting for SOTM Nigeria.

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Contrary to common practice, I hold (after much deliberation and consideration) that the best way to map runways is to make them an area.

One reason is that everybody and their dog, including our very own dearest wiki, defines a runway as being an area, with various elaboration. Example from our own wiki: [quote]A runway is a defined rectangular area on a land aerodrome (aeroway=aerodrome) prepared for the landing and take-off of aeroplanes. [/quote].

The eternal counter-argument is the parallelism to ways, railways, waterways and perhaps more; but I hold this argument to be non-valid. Unlike all the other categories, runways can NOT be joined to create routes. An aviator’s route planning mentions aerodromes and optionally other waypoints, navaids, visual reference points, but never runways. So that there is really no point in defining a runway as a way, or any other linear element.

I therefore strongly oppose both the mapping of runways as linear elements, and the additional use of area:runway or any such. The latter are totally redundant, and thus a waste of valuable resouces, storage capacity in the first place.

I am not the only mapper with this opinion, even less am I the first; many French ultralight terrains and their runways (“Base ULM”) have been mapped this way, and never been questioned. I find them perfectly satisfactory, too. For just one example among many, see [url] osm.org/way/587820283 [/url]

What is Hasiru Aqua & what do they do?

Hasiru Aqua, a leading agritech startup, is transforming the aquaculture landscape by providing vital support to farmers in Karnataka, India. Their efforts in increasing fish yields have significantly boosted farmers’ incomes and improved the overall socio-economic well-being of farming communities. Additionally, by incorporating fish into local diets, Hasiru Aqua is enhancing the health outcomes of individuals.

Why does Hasiru Aqua require mapping?

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Hello everyone, myself Neelima Mohanty , currently pursuing my BTech in Computer Science and Engineering from Odisha University of Technology and Research , Bhubaneswar , Odisha , India. I am a Sophomore (2nd year) . I have been selected as an Outreachy intern at Humanitarian OpenStreetMap Team (HOTOSM) for the May to August Cohort.

My Core Values which motivated me to apply to Outreachy

* Learning and Implementation

Once Benjamin Franklin had said “Tell me and I forget, teach me and I may remember, involve me and I learn.” Almost all the tech skills that I have learnt till date have implementations tied along with them. My internships , trainings and small projects are all evidences of the fact that I believe in a continuous and comprehensive process of learning and implementation. I applied to Outreachy on the same ray of hope that each time I make a contribution I will learn something new and implement it.

* Transparency

Quoting the line of Dalai Lama “A lack of transparency results in distrust and a deep sense of insecurity.” I always like the workplaces which are transparent and where the process of judgement is crystal clear . Such a place is Outreachy and also the organisation I had applied for (HOTOSM) along with my mentors Petya Kangalova and Rob Savoye. The three steps of Outreachy Open Source program – initial application , contribution period with final application and the internship period shows how Outreachy follows transparency and this really impressed me.

* Teamwork

“Teamwork makes the dream work” said by Bang Gae. During the contribution period of Outreachy , I came across my amazing mentors Petya Kangalova and Rob Savoye who guided me along every step and are still guiding me. Talking to them I felt like if I get selected , we will form a great team together. And here I am with me dream fulfilled.

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Die GoPro Max kann im Intervall von zwei Sekunden ein Bild machen, im Modus “360° Zeitraffer”. Diese Bilder werden einzeln, fertig gestitcht, mit GPS Koordinaten und GPS Zeitstempel auf der SD-Karte gespeichert. Das ist schön, wenn man diese zu KartaView oder Mapillary hochladen mag, oder in JOSM einlesen zum Mappen zu Hause.

Mich stört daran, dass das minimale Intervall 2sec. ist, und nicht wie auf anderen GoPros (wie der Hero 8 Black) alle 0,5sec.

Aber die GoPro Max kann ja auch Video aufnehmen in 360°!

Das hat dann auch Ton, aber, soweit ich weiß, keine GPS-Spur.

Aber das Video enthält zwei Video-Spuren, die z.B. VLC einzeln abspielen kann, also nicht direkt ein fertiges 360° Video!

Vorgehen

Eine Lösung für das nachträgliche Stitchen der Videos ist die Software von GoPro selber: https://gopro.com/de/de/info/gopro-player Die gibt es aber nicht für Linux, und muss manuell per GUI bedient werden.

Diese kann aber aus den *.360 Dateien von der SD-Karte *.mov Dateien Stitchen, welche als normale 360° Videos abspielbar sind.

Jedoch braucht es noch eine Georeferenzierung für das Video, also muss ich separat eine GPS-Spur aufnehmen. Das geht mit OsmAnd (in Zukunft dann bei solchen Aktionen mit kontinuierlicher Auflösung und nicht nur alle 1 sec. ein Punkt) auf dem Handy.

Mit den mapillary_tools kann man aus einem Video alle x-beliebige Sekunden Frames samplen, also einzelne Bilder extrahieren.

z.B. so: mapillary_tools video_process GS025642.mov --geotag_source "gpx" --geotag_source_path gpx-path.gpx --video_sample_distance -1 --video_sample_interval 0.1 --skip_process_errors --interpolation_use_gpx_start_time

Danach habe ich einen Ordner mit den extrahierten Frames und eine mapillary_sampled_video_frames/mapillary_image_description.json Datei mit den Zeitstempeln und der Geolokalisierung pro extrahiertem Frame.

Diese ist aber versetzt, da Video und gpx-Track nicht exakt gleichzeitig gestartet wurden.

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Last week, I became actively involved in Engineers Without Borders here in Norway, and a project that I was asked to engage with is “missing maps”.

Today, I attended a “mapathon” here in Oslo, I created my account here, and I made my first set of edits on this project: https://tasks.hotosm.org/projects/14389#description

I am starting out, but I hope that I can do some good work here in the future, and also invite others in as mappers, as well as organize my own “mapathon”.

Also hoping to join a community of mappers where we can exchange tips and tricks, and share best practices.

Best regards from Oslo, Raymond M. Kristiansen AKA “DLTQ”

The OpenStreetMap (OSM) project has over 10 million registered members, with around 2 million user profiles having made at least one map contribution. However, a closer look reveals that there has been a slight decline in the number of active contributors over the last three years. Despite the extensive global mapping community, there are instances where individuals or automated bots disregard the consensus norms of the community when editing data. These situations arise due to disagreements regarding the appropriateness of certain tagging or features within the OSM database. To address these issues, a change rollback process, commonly referred to as reverting, is used to combat vandalism and correct ‘mistakes’ by restoring a previous version of the data.

Two years ago, I added additional statistics to the “How did you contribute to OSM?” page for quality assurance purposes. The numbers for each contributor profile were derived from an analysis of the full history OSM planet dump and changeset tags, including the specific editor used. While this pragmatic approach provides valuable insights, it’s important to acknowledge that the obtained numbers are estimations rather than exact figures. Furthermore, I received several inquiries regarding the implementation of the processing involved in identifying the displayed “reverted changes”.

Over the past few weeks, I have developed an advanced processing pipeline. This involved revisiting the comprehensive OSM planet dump and examining the evolution of each entity (node, way, relation) in relation to its previous states. Specifically, an entity with a higher version number was identified as a revert if it had the same latitude/longitude coordinates (for nodes), tags (key-value pairs), and/or members (for relations) as a previous version. In simpler terms, if a mapper changed “X” to “Y” and another mapper subsequently altered it back to “X”, it would be counted as a revert.

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My Favorites

Logias 🇨🇺

Gran Logia de Cuba - geo:23.132275,-82.36998

Hogar Nacional Masónico Llansó - geo:23.042747,-82.36391

Logia 28 de Enero - geo:22.999924,-82.387405

Logia Aaron - geo:23.067257,-82.4419

Logia Amor y Trabajo - geo:22.192526,-78.91211

Logia Andrés Cassard - geo:22.243143,-79.07084

Logia Bartolome Masó Márquez - geo:20.343973,-77.11943

Logia Camagüey - geo:21.37952,-77.91996

Logia Chaparra - geo:21.163475,-76.47708

Logia Dignidad y Virtud - geo:22.61579,-83.70961

Logia Discípulos de Hiram - geo:22.794327,-82.50729

Logia Eugenio María de Hostos - geo:22.871666,-82.4228

Logia Evolución - geo:22.810652,-82.76099

Logia Fe y Amor - geo:21.527685,-78.22576

Logia Fecundidad - geo:23.119873,-82.36637

Logia Flor de la Perseverancia - geo:22.897594,-82.5951

Logia General Guas - geo:23.122776,-82.38116

Logia Guillermo Francisco acosta - geo:23.078745,-82.358925

Logia Hermanos de Hiram - geo:21.940248,-79.17012

Logia Hijos de la Luz - geo:23.127113,-82.305046

Logia Hijos de Luz y Constancia - geo:23.064512,-82.3398

Logia Ignacio Agramonte y Loynaz - geo:21.382,-77.92021

Logia Jiguaní - geo:20.372225,-76.425156

Logia Joaquín N Aramburu - geo:22.990688,-82.755936

Logia José Antonio Saco - geo:20.375313,-76.650314

Logia Juan Ramos Rivera - geo:22.926662,-82.97989

Logia La Evamgelista - geo:21.887217,-82.80322

Logia La Voz del Maestro - geo:21.38468,-77.91722

Logia Libertad - geo:23.053726,-81.5662

Logia Los Apóstoles - geo:23.106941,-82.391304

Logia Los Templarios - geo:22.969793,-82.39083

Logia Luz de Ariguanabo - geo:22.89018,-82.50358

Logia Luz de Occidente - geo:22.927053,-82.68859

Logia Luz del Oeste - geo:22.805513,-82.585175

Logia Luz y Constancia - geo:23.082743,-82.42892

Logia Luz y Vida - geo:22.601988,-80.336685

Logia Manzanillo - geo:20.343296,-77.118004

Logia Martín Herrera - geo:22.74642,-83.55397

Logia Montecristi - geo:22.586252,-83.247154

Logia Obreros del Damují - geo:22.340057,-80.55446

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Cheltenham is a town of 116,000 people in south-west England. During the Covid-19 pandemic lockdowns, I spent lots of time collecting addresses in the town and adding them to the map.

Cheltenham is now better mapped than parts of London and many other cities and towns. If I can do it, you can do it too—and better still, you can learn from my experience and mistakes.

Why?

Address coverage in OpenStreetMap is still poor in many places. Good coverage is needed for better geocoding, which many users view as an integral part of a modern map.

During lockdown, many people relied on deliveries. Even now, a huge amount of time is wasted not so much in “last mile” delivery issues but “last few hundred metres” ones.

UK address data is not open, so addresses have to be surveyed or collected on the ground. This is tedious and repetitive, but there are some upsides. You’ll uncover mistakes in places which haven’t been touched on OpenStreetMap for years, and you’ll have the opportunity to improve geometry and alignment with the far better imagery now available.

Walking around your town or city is a great way of discovering new places and learning more about local history. Like many people, I’d heard of the mass trespass of Kinder Scout and how it ultimately led to greater access to the countryside. But I was unaware of earlier agitations here in Cheltenham over access to Leckhampton Hill. The hill is now part of the Cotswold Area of Outstanding Natural Beauty, crossed by the Cotswold Way National Trail which passes a memorial tree for one of the rioters.

Approach

I started collecting addresses in earnest in mid-April 2020, continuing to August 2021. I collected addresses at least once per week but usually more. I’d walk for anywhere from 30 minutes to four hours at a time.

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A famous tourist spot Husnain resort and its private road is missing on the maps which is very necessary yo be there on openstreetmap

These notes are primarily written for my future self (to prevent having to figure out things I have already figured out once).

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Oslo has a great City Bike system. There are over 200 stations where one can pick up or return a bike (map), for the yearly fee of a few lunches.

I would like to see if some of these stations are missing from OpenStreetMap. I will be looking for the amenity=bicycle_rental tag. I get an OSM extract from GeoFabrik:

curl https://download.geofabrik.de/europe/norway-latest.osm.pbf -o norway-latest.osm.pbf

Using this gis.SE answer, I know I a modified version of osmconf.ini would help me query the amenity class. I create bysykkel_osm.ini:

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Der Kammweg bietet sehr schöne Aussichten, ist aber auch durch eine Abfolge von Anstiegen und Gefälle charakterisiert. Durch den GPS-Track konnte die sehr pauchale Digitalisierung des Kammwegs verbessert werden.