Hallo zusammen ,warum erscheint mein Geschäft nicht hier wie kann ich es hier eintragen ,kann mir jemand helfen ,danke

with this file coloured+name_offset.mapcss https://projeto.softwarelivre.tec.br/s/4z2jzQSjkL5oPTW you can move the street name to the side of the street, making the street name visible for better mapping of street names.

I have been mapping street names in Brazilian cities that need street name mapping.

learn how to map roads in rural areas with this video tutorial.

UmbraOSM (Brazilian OpenStreetMap Mappers Union) brings you another video tutorial, teaching you how to use the Rapid editor to map buildings and roads in OpenStreetMap. Check it out and improve your mapping skills!

This blog post is part of a series of blog posts about the new OSM file format OMA. This is the fourth post. At the end of the article youll find links to the other blog entries.

Coordinates should be formatted 1.236345 4.23643
Written by ChatGPT
Due to kramdown I have to use https://docs.google.com/document/d/1P4YrHsAhZKu9BRt1HRnsBbQJl8MdDMoJ76Ht9w1aqG0/edit?tab=t.0

Maybe youve seen one of my changeset comments reading anti-SEO aktion. Maybe I even reverted your changes in a changeset with that comment. You might be wondering, what does it mean?

Objects in private gardens which do not require a build permission, such as small shelters and especially movable objects like (round) swimming pools, should NOT be entered into ANY public maps! They add nothing to the quality and usefulness of a map, I consider it a map data spam.

I may sometimes remove such objects from the Frýdlant region, especially if not mapped correctly (private swimming pools must be marked as private to not interfere with searching for nearby swimming pools).

Mapping trees in OpenStreetMap and visualizing them in three ways

After spending a bit of time mapping and getting a feel for the scope, type of work this project will require, it’s clear that this project will unsurprisingly take quite a bit of time.

To make this process as engaging as possible, I think it would be wise to alter my workflow slightly. Initially, I planned to start with only mapping buildings for the entire island. However this would mean hours and hours of monotony, so I think a good workaround here is to keep my current workflow structure, but just apply it to a smaller scale. For example, I’ll pick smaller sections of the island to do both the building and the terrain mapping. This will give the work more variety and also make it more clear which areas I’ve already worked on.

Project Outline

This entry is a statement of my intention to map out Bell Island, Newfoundland. I will start south and move my way north as the south is less densely detailed and work will likely be quicker. My intended workflow is stated below, where I will not move on to the next item on the list until the first item has been mapped as thoroughly as possible on the entire island. While I am experienced at working with geospatial data, this is my first project on OSM so any suggestions/comments on my work are appreciated.

I will provide updates through future diary entries as my work progresses. This is a casual project so I am not setting any timelines.

Workflow

• Buildings & associated roads
• Terrain
• (Might drop due to lack of local knowledge) Secondary urban & rural characteristics (cemeteries, parking lots, etc.)

Ich war am 19.3. zum 1.Mal beim OSM Stammtisch im Kaffeesatz. Da wurde mir die App StreetComplete empfohlen. Die habe ich mir installiert und am Donnerstag intensiv ausprobiert. Es hat Spaß gemacht und mich gefesselt. Drei Stunden bin ich zwischen Tietz und Moritzhof hin und her gelaufen und habe ca. 60 Einträge erfasst. Demnächst werde ich mal JOSM ausprobieren.

You may have noticed that I have marked a lot of buildings in Nanaimo with notes indicating that each of those buildings has multiple businesses in it. This is because on the next sunny weekend, I will be going down to Nanaimo to survey all of those businesses, and I need to be able to see at a glance which specific buildings I need to survey. I will need to know the exact position of each business within each building, so what I end up putting into OSM as a result of this survey is an as-accurate-as-possible depiction of each building’s “floor plan”, if you will.

One of the reasons as to why I loved this image set was because it was almost centered completely from the top-down, which made tracing buildings far easier. This new set that was introduced makes it extremely hard now, and all of the already-traced assets like buildings and roads are now quite skewed when based off the new set. It’s frustrating.

i wish that we could pin locations, visible only on our account. it would make it a lot easier to keep track of multiple locations. i’m sorry if my formatting is wrong, or if i’m using this entry wrong. i’m very excited about this website, thank you!

Despite the apparent lack of public transit, Redmond Watershed Preserve is accessible with a bit of walking.

Lots of people use editors such as iD, Potlatch, Vespucci, GoMap!! etc. for editing. There are entirely sensible reasons for this - Ill always try and edit relations in Potlatch or iD since for me editing relations there is a much saner experience t…

Teach GIS after school at High Point Library Work other PH content into mix with ongoing GIS training

benefits #external #internal

risks #internal #external

This blog post is part of a series of blog posts about the new OSM file format OMA. This is the third post. At the end of the article youll find links to the other blog entries.

Accessing information in moments of crisis - Interview with Dr. Raquel Dezidério Souto about the Rio Grande do Sul (Brazil)’s disaster occurred in April and May, 2024

Headed to Dutchess County in NY to update a smaller commercial Area. Added the parking lots, turn lanes, and buildings for the commercial areas that were missing. Still a lot of details to go.

I maintain a web map style that shows walking and cycling route names. For the cycle routes, it shows the . For some time Ive massaged some of the names so that e.g. National Byway loops show as NB (loop) just like on the signage.

Theres a saying in a certain article on the OpenStreetMap wiki that tagging for the renderer is equivalent to lying to the renderer.

Committed to providing the most accurate information regarding Cleveland, Ohio, USA’s West Side Market opening hours.

Please note: This blog post is part of a series of blog posts about the new OSM file format OMA. This is the second post. At the end of the article youll find links to the other blog entries.

My edits are not git commits.

If anyone that is interested in knowing my change set history I would be more than happy to send them a link to one.

The ability to edit my bio and profile picture are all the personalization that I require.

OpenStreetMap is a map of the world, created by people like you and free to use under an open license.

Went back to Henderson to finalize the updates. I think i updated all i could with out starting to assume details. Also some mappers suggested straightening out the roads, so i did that across the entire town.

Reinwald

Over the past 3 weeks Ive discovered, researched and mapped out the area of the abandoned Russian town of Тенкели, located in the middle of Siberia.

Picked another town nearby. Patterson NY. Added most of the buildings in the area. Now need to work on the lots and land cover.

I must be mad as I have started two proposals in a day.

Today marks the day on which I have completed the addition of every currently existing address in the 97390 ZIP code. This particular ZIP code, excluding subaddresses, only has 492 unique addresses. I also added 98 unique addresses in the Alsea ZIP code, from Tidewater up to the Lincoln/Benton county line.

As a final quality check, when I am done adding addresses to an area, I export and run OSM data against the address data to check for errors. I found a total of three. One address had the wrong street name, and I somehow skipped adding address info to two buildings that I changed the geometry of.

Next on the list is to start mapping the Waldport and Seal Rock ZIP codes. There are roughly 3,700 addresses to map in Waldport, and roughly 1,200 addresses to map in Seal Rock. The goal is to prioritize areas with limited or no cell reception.

While there is somewhat good building footprint coverage in these areas, the vast majority of them have been added from Microsoft building footprint data. I briefly attempted to use the same data to save time drawing footprints, but found that fixing the problems with it took more time than drawing without it.

I am not sure how else to end this entry, so this sentence will serve as the conclusion.

A few minor changes, so this is more an update, but with close to full details.

The tools;

• Forward looking 8.3MP/4K dashcam 2FPS.
• Left facing (270 degrees) old Samsung 8MP phone 1FPS. (Out passenger window)
• Left rear facing (225 degs) old Samsung 3.6MP phone 0.6FPS. (Out passenger window)
• The dashcam records audio (my voice) in one minute chunks.
• All photos and audio are geo-referenced to their current location.
• The Garmin navigation GPS has a current OSM based (mkgmap) map, a POI set of OSM FixMe’s.
• I am a permanent road dweller, retired and wandering Australia. For 10 years now.

The methods - Start of day;

• Start a GPS/NMEA (USB via laptop) UBLOX recording function that also flags movement >3kph and <40kph.
• Start an APRS beacon for those that like to track me. (msg me for details)
• Mount/power up the side facing phones and launch their (laptop) 3>40kph recording scripts.
• Power up the dashcam and let its own GPS settle for 2-3 mins. This is also the voice notes recording device.

The methods - Basic drive;

• Open high speed road 70*100kph. Just let it capture doing voice as below.
• Can’t really play music as it can trigger voice events.

The methods - Voiced items;

• Every road surface change paved vs unpaved on route. (incl concrete bridges)
• Any road calming objects (humps and chicanes) and gates on existing roads.
• Any one*way road situations and associated signage.
• Road surface left and right of track (surprising how many are not currently valid)
• Verify road names signs vs Garmin GPS and voice differences. (including missings)
• Verify waterway names signs vs Garmin GPS and voice differences. (including missings)
• Voice any obvious missing public cross etc roads or major private ones. (eg sealed mine roads)
• Voice all bridge names. (if they exist)
• Respond to FixMe’s. (many an unknown water crossing!)
• Voice any obvious informal parking areas (like stockpile/gravel pit areas) plus any formal not showing on GPS.
• Voice any farm/property names/type and if possible address numbers.
• Voice as many town/other objects as possible, priority to Fire, Police, Ambulance, Church, Govt Offices, Post Office & Telstra phones/exchanges, but try to get all shops, parks, recreation grounds, playgrounds, toilets, camp areas, dump points, water points/tanks, fuel stops, rest areas, touristy things, information boards, welcome signs, comms towers, windpumps, large dams etc as possible.

The methods - High density shopping etc areas;

• It’s impossible (and distracting) to voice such detail, so I rely on the side cameras to (say) take 2-4 images per shop front. This is usually done between 20 and 30kph. Especially high detail I’ll go to 5kph for, and less to 40kph. More than 30kph though there is a higher blurring risk, so really only useful for more distant scenes.
• I open and close the powered windows as I drop below 40kph. Yes I could automate that via a ECM/VCU connection along with capturing some interesting data. Have to be able to override on a wet/cold day though!

The methods - End of day;

• The side cameras save their jpgs direct to laptop, so I stop the capture process and launch a single script that processes every image, including EXIF GPS and other data.
• The dashcam has a WiFi connection, so I download the entire days movie capture. I leave the SD card in the camera. Later in that script I extract out jpgs also with GPS EXIF plus the road speed. The road speed (0) is then used to remove all stationary only videos.
• Processing (before upload) takes roughly twice the time of the actual captures. I have to throttle the i5 laptop in hot weather, but generally it runs flat out for 4*5hrs per drive day. The entire system is actually solar powered (with a charge boost when driving) and more efficient if run this way.

The methods - OSM and Mapillary upload;

• I have 2 laptops, so some concurrency of the workflow happens quite regularly. What I do has been mostly covered by previous diary entries so these are only a few extra.
• The stream of side facing camera views are visually checked for any private dwellings or blurs. These won’t be uploaded, but some are used for house numbers entry before being discarded.
• The dashcam images are not uploaded as the Mapillary server will direct process mp4 videos. They and the (non private) side camera images can be uploaded async with any OSM entry. I upload between 8 and 20 GBytes per days travel. This can overheat the cell modem despite a cooling fan, so I may delay uploads for a location with better signal that keeps the mode cooler. The record was a backlog of 150 GBytes in one 12 hr period.
• I mix the side camera views in the one directory, so I can scroll back and forth over the same scene to read around objects in front of information I need for OSM. I would usually remove them from the directory afterwards, but may need to correlate them with dashcam and voice notes. Images removed means work complete, so I can also keep an OSM backlog, sometimes a week old.
• Although I upload the images to Mapillary I rarely if ever use them for OSM (through ID). I try to do OSM entry when the detail is still fresh in mind and it can take a week for them to appear on server. It’s also far easier/faster to enlarge and track them locally.

About the phones as cameras;

• Android phones with USB tethering enabled is much faster than using its WiFi through an AP. Problem is that the device IP is fixed, so only 1 phone per laptop USB. The 2nd phone is via the slower WiFi. Am thinking of combining USB ports (bridging) to the one network interface, but it’s probably not worth the hassle.
• I use the Android App “ipwebcam”. Basically it presents a web server like functionality, so I just “wget” an image as fast as it will respond. I don’t enable or use the phone GPS. The rate does vary somewhat with light level and WiFi congestion. Telstra also has their cell modem/AP firmware configured to power down if there is no cell signal for more than some time (like maybe an hour), so that can break capture.
• The loss of 3G made these phones very useful as web cameras. No SIM installed, but emergency calls might still work. The USB attached phone is in “airplane mode” so no WiFi/cell RF.
• I have an ordinary cell smartphone. It’s boring though.

About the Garmin GPS navigation device;

• I have a custom mkgmap script to update maps whenever I have the need. Minimally every month.
• Using overpass with some text processing and gpsbabel I can add all manner of special POIs as needed for whatever project I may be working on.
• The default POI is all Fix-Me’s with all the associated point or way fields (minus lat/lon) concatenated with spaces removed, so it can best fit on the Garmin screen. They show up as red blobs on the Garmin screen along with an audible alert at 800m.
• Anything is possible with the OSM data and POI’s. One recent set was of roadside parking sites that were missing some required info, ignoring others that were complete.

About the UBLOX GPS unit;

• This is one of the USB dongle things that I have glued to the inside of the upper left windscreen and connected to the laptop via a USB A*A M/F cable.
• At day start I configure it to act as if mobile (the default being to assume it is sitting still and has position dampening applied) and run at 5 positions/sec rather than 1. I have on occasion wanted the best accuracy for road/way alignment, so upload to OSM the combined UBLOX and dashcam GPX’s in both directions as a private trace. All 4 track lines are then very obvious and easy to centre on. I can also look at any image (they are all georeferenced) to check for a reason for an unusual track deviation. (Like giving a truck the entire road!)

About the laptops;

• The capture laptop is quite an old Toshiba i5 with a (replaced) SSD running Debian Bookworm. The 2nd one (used for OSM entry) is the same, but an i7.
• It helps that I was a systems manager in my employment life, so do a lot of coding.
• The scripting and processing has evolved over the years and kind of complex. Well beyond the scope of this diary items entry. It is worth noting though that I also optimise the image contrast and gamma prior to uploading the side cameras, as none of this processing is done on the Mapillary server. It is well worth doing.

About the vehicle;

• A camping fitted out AWD VW Transporter. Grunty diesel.
• Enough antenanas that I am asked if I work for ASIO quite often.
• 480W solar panels and 300AH LifePO4 battery.
• There is a bed, fridge and cooking gear in there somewhere.
• QRG 40m, 30m, 2m APRS only, no voice. (for those that know what that means)

Please feel free to suggest or ask opinions! As I type this I am camped at Captains Flat, not far south of Canberra (Australia’s capital). The entire Mapillary and OSM backlog is cleared so more driving coming up!

Cheers Bob

Hier startet die Schweden-Resoe 2025

This is a backlog of before and afters. I went up the road a little bit to another town with not too much mapped. Mapped the buildings in the immediate town center and a bit of the green.

Picked another small town name in Vermont. There wasnt too much to map here. Dont have details on the ground.

I am a visually impaired user of Open Street Map, and I already contributed some places to the city of Simi Valley and a few surrounding areas. I think it would be nice to create a Navilens tag for Open Street Map. I don’t mean an actual Navilens QR code, just a tag saying that there is navilens available at a particular place. This is just a sort of true-or-false or yes/no tag. Navilens is a service that allows visually impaired people to navigate using special QR codes detected by a celphone from several meters away without the camera pointing to the code. Now if the Navilens tag gets implemented into OSM, Navilens themselves could contribute directly to Open Street Map for places that have Navilens codes, especially bus stops. We could also contribute to Open Street Map if we know for sure that a place has Navilens. That way, visually impaired people around the world know what places they can use the Navilens app for navigating.

As an OpenStreetMap contributor, I always pay attention to how maps are used in media and various software applications. It is fascinating to see OSM data appear in unexpected places.