I’m finding it difficult to pick a particular mapping task to focus on, because even in my corner of Orange, there seems to be so much to do. For example, I’ve noticed that the sidewalk ways sort of peter out a few blocks away from the Circle. I was glancing at some geometry last night, and also noticed that some people have tagged a few backyard swimming pools, but there are plenty of unmapped pools visible on imagery. I spent a little time adding some pools, as well as adding access=private tags the existing ones. It’s nice to have some stuff to do that doesn’t always involve going out somewhere (not that that would be feasible in people’s backyards anyway heh).

Then I noticed solar panels on aerial imagery, and wondered if anyone had tagged them. I know people tag larger power infrastructure, but mapping rooftop solar seems like it would be cool data to have, too, especially in Southern California, where it works particularly well. It’s also easy to do from imagery.

The neighborhood with the pools also has a decent amount of rooftop solar, so I mapped a few of those as well. I realized, though, after uploading a bunch (oops), that some of the panels aren’t necessarily photovoltaic cells; they could be rooftop water heating, especially smaller areas that look particularly black. I plan to go back through and try to verify if they really are rooftop solar. Most probably are, and most of them look distinctive or big enough that I’d be confident in tagging them as rooftop photovoltaic cells, but a few of them could also be rooftop water heating, so I might just remove the photovoltaic-specific tags from them for now. It’s still rooftop solar, but the particular energy use will just be ambiguous. I think that’s better than it being incorrect.

Focus!

I need to pick a few things to focus on and them see them through to completion, I think. I have a bad habit of starting projects and not finishing them. In no particular order, I’d like to map:

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RETEX: Encounters Along My Mapping Walks

(translation by ChatGpt)

to be continued, maybe:

• journal entry (upcoming): Existential Questions About My Encounter with Panoramax
• journal entry (upcoming): Existential Questions About OSM and the Wikimedia World
• journal entry (upcoming): My First Experiences With an RTK Rover and an RTK Base

My urban recycling trek is now complete (at least regarding the attempt to map all voluntary drop-off points in the GPS&O intercommunality). I still need to clear up some fixme tags. This journal entry isn’t about mapping information but simply about a few encounters I had during my walks. They are just brief flashes of emotion, smiles, or frustration.

To understand the atmosphere of these encounters, picture me as:

• 70 years old, usually in shorts (except below 11°C)
• with a backpack (20L)
• always carrying at least one hiking pole in one hand and a camera in the other
• sometimes with a pole sticking out of my backpack holding a GNSS antenna at head height

The Best of the Best: Hunting for AEDs

in a micro-crèche

2025-09-08 in Médan I’m looking for a micro-daycare facility to verify the presence of an AED (Osmose suggestion). I wander a bit around the assumed location at the end of a residential cul-de-sac and eventually identify the daycare. I hesitate to enter the garden and ring the doorbell when an educator opens a ground-floor window, leans out, and asks whether I’m looking for something and if she can help (a polite way of saying “we’re watching, please move along”).

We exchange a couple of rather friendly minutes during which I silently give up on asking whether I may come in to photograph the AED (didn’t seem very wise). Instead, I hand her my phone and ask if she can photograph the AED on their wall (at least we both know she will avoid putting any children in the frame).

… See full entry

It was a lovely day outside today. I added some fire hydrants along East Almond, and also adjusted the crossing at Almond and Center, which I believe must’ve been edited based on out-of-date aerial imagery. The previous nodes and ways specified unmarked, uncontrolled intersections for all but one crossing, which matches the existing Bing imagery. I walk through this area all the time, though, and the city installed more stop signs and painted the remaining three crossings with yellow ladder crosswalks some months back. So, I’ve updated the map to reflect this.

Some of the hydrants along (or just off of) Almond were Clow hydrants, as I’ve seen before, but instead of a more recognizable model number, these all just read “5” underneath “Clow”. A quick search didn’t turn up any “Clow 5” hydrants, although it is, admittedly, hard to Google, and I was outside on my phone when I searched.

That being said, I did another quick search just now on my computer, and I found a PDF that mentions a “Clow #5” hydrant. Mystery solved! I tagged these as “model: 5” at the time, so there’s nothing to do!

Do you know how to map access points to the beach?

   

Check out the tagging scheme that we have developed for mapping access to beaches and other coastal recreational areas

   

Manguinhos Bay, Armação dos Búzios, Rio de Janeiro, Brazil, viewed in the overpass turbo, filtering tag barrier=gate (red). Mapa data © OpenStreetMap contributors, Nov. 15, 2025.

   

Collaborative mapping of beach access with OpenStreetMap

 

I participated as a Keynote Speaker in the II Beach Access Network (BAN) Research Workshop, held between August 18 and 20, 2025, at Casa da Ciência, Rio de Janeiro (Brazil), and showed how to map beach access points with OpenStreetMap. Now you can read the text about the tagging scheme and some details of this mapping.

Download the text

 

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New development completed and occupied.

Consists of:
1 - 7 Norman Close, ST. ALBANS, AL1 2DW
1 - 5 King Offa Terrace, Wallingford Walk, ST. ALBANS, AL1 2EL
18A - 18B Abbots Avenue West, ST. ALBANS, AL1 2EJ

While I mapped driveways years ago in my neighborhood, I didn’t include access tags. I saw that later someone added access=private tags, and I thought nothing of it assuming it was the correct tag. So now when I just mapped scores of them in the neighborhood additions, I just now had the thought to look on the wiki for the tag definition.

As said by the wiki, the definition of access=private:

Public access is not allowed. Access is granted with individual permission only. Examples: A driveway with a no trespassing or keep out sign; A company parking lot for employees only. “Individual permission” has been interpreted to also include delivery people making a delivery to a resident or drivers picking up a resident by request.

Most of that makes sense - but in the examples, why would it specify a driveway would need a “No Trespassing” or a “Keep Out” sign? Just wondering if I need to retag some driveways in line with common (or changing) practice, or at least having more confidence in tagging them correctly.

Not much to report today. I stopped by Play Coffee with a friend and added some POI tags while we were in line. There’s always something to map if you have a little downtime!

I also discovered that the building Cali Tacos is in has no POIs to speak of, so I’ll focus on adding those next, along with ever more fire hydrants. (I found some possibly interesting information about Van Deventer fire hydrants, but I’m not sure it’s enough to answer the question firehydrant.org posed about whether or not it was a company or just a licensed design.) In fact, the geometry on the map just shows one singular building, which is true, but there are individual units for each business. I think it makes sense to break them up, I just need to make sure I’m doing it correctly.

Using a phone running Android OS as a data collector for an RTK-enabled GNSS receiver, I ran into a fairly small but annoying inconvenience with getting data files from it on a Windows machine.

On Windows, you can’t mount a phone’s file system as an actual removable drive (don’t confuse that with seeing its file system in the File Explorer), so automating it with built-in command-line file tools isn’t an option. File paths to the data folders of Android apps are ridiculously long, so traversing them manually is another hassle.

However, it’s still possible to do that using the Android Debug Bridge tool, a part of the SDK Platform Tools.

After installing SDK Platform Tools, you should be able to use the adb command in PowerShell or classic Command Prompt batch files.

Knowing the full path to a folder where your data collector app (LocusGIS, SW Maps, etc.) stores files you need to download regularly, you can get a list of that folder’s contents by calling adb shell ls command with the full path to that folder as a parameter.

Downloading a file is as easy as calling adb pull with the full path to the file you want to download. This process can be made more or less interactive if you create a script that lists all the folder contents, then prompts you for a name, and then downloads the file by the name you entered. The target file name or path can also be specified as another parameter. It’s even easier if the data collector app uses the same filename every time, or if you save it under the same name.

For all that to work, you’d have to enable USB debugging on your mobile device and grant permission for the Windows machine to use it when you first attempt to utilize the adb. However, it would save you the hassle of switching on the File Transfer mode every time you want to access the phone’s file system.

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German version

Initial Situation

In the forum, a user reports that a road on Crete is not being displayed completely. It quickly becomes clear that the German style is being used for rendering.

Openstreetmap.de operates two tile servers. On both of them, the tiles are faulty. It would be quite a coincidence if this were a hardware issue or a specific data import problem. Therefore, it is very likely that the cause lies within the German style itself.

The only difference between the two road segments is that the visible part contains one additional tag, namely maxspeed:

• way/1340290929
• way/1340291113

First Attempt

In the first attempt, I added a tag, namely the surface surface, to the missing segment and forced the German server to re-render the tiles. As a result, the previously missing part of the road appeared. This brought me one step closer, but it is not a solution yet.

Second Attempt

The German style is based on the standard openstreetmap-carto style, which is used on openstreetmap.org for OpenStreetMap maps. It adopts the basic rendering but selectively modifies certain elements to make them more readable for Germans.

I was curious whether the missing road segments were also absent in the original style. Therefore, I rendered them using that style. For this, I used render_single_tile.py and retrieved the necessary information by right-clicking on the corresponding tile at https://tile.openstreetmap.de.

First, I rendered with the German style, where – as expected – the road section was missing:

render_single_tile.py --zxy 17 74577 51762 --stylefile openstreetmap-carto-de/osm-de.xml --outputfile site/rendersinglefile/1.png

Then with the original style, where the rendered tile was also incomplete:

render_single_tile.py --zxy 17 74577 51762 --stylefile openstreetmap-carto/mapnik.xml --outputfile site/rendersinglefile/3.png

From my understanding, this made it clear that the error already occurs when importing the OSM data into the database.

… See full entry

Hello, guys. I am trying to map a neighborhood of León, in Spain. I need a lot of help, as there are plenty of buildings not mapped or not mapped correctly, so any help would be much appreciated. This is the note where you can see the area that I am working on right now. osm.org/note/5052568#map=15/42.59710/-5.56225&layers=N

It was another beautiful, sunny day in Orange. I’m toying with the idea of conjuring up some sort of regular Saturday mapping activity, solely so I can use the word “Mapurday”, even though I’ve mapped at least one thing every day for the last five days. I’m sure that will slow down a bit once I re-balance the other parts of my life (although I did add a bench in Riverside last night while waiting for a friend to arrive; it doesn’t take much to contribute!). I’m not sure if it will be just for myself, or I want to try to get other local mappers involved.

It was a productive day! My goal was to add more fire hydrants along Palmyra, and to catch one I had somehow missed along Almond. I can’t say it’s representative, but so far, the manufacturers have all been one of:

• Rich Valve Co. (or Rich Manufacturing Company; I’ve seen both and other variations in newspaper clippings)
• M. Greenberg’s Sons
• Long Beach Iron Works
• Clow (Valve Company)

There’s also one Van Deventer, which firehydrants.org says could be a company, but it could also just be a fire hydrant produced under license. I plan to do a little newspaper digging to see if I can learn more.

Orange Street Barbershop

I added the Orange Street Barbershop to the map. I’ve been correcting several missing or otherwise out-of-date business POIs in addition to my quixotic hydrant mapping quest. The previous salon for 120 S Orange St was long since closed, so I updated it for the new business. I also noticed that the entire building was marked as the salon (now barbershop). I switched this to an individual node because the Orange Street Barbershop is technically suite B; there’s a suite A with doors set a bit back into a covered part of the building, but they don’t seem to be for anything useful.

… See full entry

YIPPIEEEEEEEEEE! I’m already at 65 edits! This is the start of something very great and beautiful. Speaking of great and beautiful, I love my girlfriend so much!

Flickr is how I learned about Open Street Map. They use OSM data for their maps. Places that haven’t been worked on can only be found via coordinates. It’s frustrating.

Parma, Ohio, for example could use some love and attention.

About a week ago, vandals began defacing the map in South Korea. Over the course of that week, I rolled back hundreds of changes, and with the help of the site’s moderators, I banned over 50 malicious accounts.

In fact, the problem arose not even a week ago, but about a month ago. Back then, South Korean media reported that one account had allegedly leaked the locations of all the country’s military bases to the public on Openstreetmap. (link)

Even then, this false media claim struck me as disgusting, but it didn’t cause any major problems. Almost simultaneously, another Korean media report about Openstreetmap appeared: allegedly, an error in the domestic mapping services NaverMap and KakaoMap displaying a river in North Korea was linked to Openstreetmap’s activities: (link)

… See full entry

how do i change nodes on points

Sometimes some maps are more satisfying than others. What I did on “Cho-do” (“초도”) — Cho island — is definitely one of them!

Cho-do in North Korea is one of the largest islands in the country, and today we can proudly say that it is fully mapped on OpenStreetMap!

In this diary, I explain the small steps I had to take to achieve what I consider to be — among the various places I have mapped — the most complete area !

See it directly on OpenStreetMap!

Why an island?

I have been able to map various locations in North Korea (and a few other places), but there are few areas that are as well-defined as islands — which are not too large either — to map completely.

The idea of doing an island came to me from a contributor, @Lyokoï, who plans to map at least one island in every country/territory in the world. I love the idea, but if I were to take on this kind of project, it would be to map all the islands of North Korea 🤭!

… See full entry

I worked a little more on Crowder. It may be a small town compared to my home town but it takes a lot more concentration. I don’t know the area and there isn’t as much on line information meaning I have to be slow and deliberate with how I map. I want to do right by Crowder.

I worked on two city blocks.

The #30DayMapChallenge is a social media event where map enthusiasts create daily maps based on a set theme throughout November. You can find more details on the website 30daymapchallenge.com.

After observing the challenge for many years, I participated for the first time in 2025.

I wanted to use the challenge to better understand fundamental mapping concepts. It wasn’t primarily about creating especially beautiful or eye-catching maps. Rather, I am working on a small project where I create vector tiles for small areas—mostly using free software and open formats like Shortbread and Versatiles. At the same time, I am increasingly experimenting with self-created vector tiles and custom styles. So far, I have used Tilekiln or Tilemaker for the tiles, and for styling, I used Glug for the first time. Since I also enjoy Leaflet, I include a Leaflet map wherever it fits better.

In this article, I want to experiment with my designs and work on questions that are still open in my to-do list, or simply try out something new.

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• Map yerragattu area first
• followed by bheemaram
• move towards KU X Road
• move towards public garden

It’s relatively common for various national and regional GNSS correction networks to be referenced in a CRS other than WGS84 used in OpenStreetMap. The reason for this practice is that countries and regions use their own coordinate systems, most suitable for the territory they cover.

For example, the Oregon Real-Time GNSS Network (USA) uses NAD83 (2011) epoch 2010.00, according to their website.

It means that any RTK measurement taken while receiving NTRIP correction data from such a network will be referenced to the same CRS. That applies directly to the NMEA data output of the receiver, despite it normally being implied to be in WGS84. The majority of receivers available to amateurs are incapable of being configured to be aware of that. (The only sub-$1k receiver core I’m aware of that can “understand” the NTRIP CRS defined manually is Septentrio Mosaic.)

So, unless you perform a transformation from said CRS to WGS84, your tracks are going to be completely unsuitable for submission into the OSM public tracks database.

However, there’s a pretty straightforward way to perform the required transformation. Unfortunately, it’s “a little” longer than ideal for the exact same reason that NMEA data is implied to be in WGS84, so feeding a NMEA log directly may result in the reader ignoring the input CRS override.

The key tool for this is, coincidentally, JOSM. Here’s the workflow that functions just fine in my experience:

… See full entry