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On November 15, 2022, the Silver Line Extension in Washington D.C. will open. I edited the new Silver Line stations (Reston Town Center, Herndon, Innovation Center, Washington Dulles International Airport, Loudoun Gateway, and Ashburn) to reflect the new opening date and add more information about them. Still, I was wondering when I should actually route the Silver Line through the new stations, should I do it now since we know the opening date or should I wait until November 15? In addition, I know that Metrobus, Loudoun County Transit, and Fairfax Connector plan on changing, adding, or removing routes to coincide with the new openings, when should I start changing this on OSM?

Location: Loudoun Station, Moorefield, Loudoun County, Virginia, 20174, United States
Posted by TUMAINI APOLINARY on 1 November 2022 in English.

I am currently graduate with BSc in Environmental science and management from Sokoine University of agriculture. Being a geospatial data enthusiast, I have 2 years of open data experience, working as a remote mapper from SMCoSE Youth mapper and Open Map Development of Tanzania (OMDTZ) in the projects mapping the unmapped for flood resilience, by mapping the extent of this project it provides the better understanding of the problems to the community.
I am also currently among the Crowd2Map intern for the year 2022, these internship programs aim in promoting open data quality, delivering quality data and putting rural Tanzania on the map. I am motivated to participate in this excellent opportunity to learn more about open data and also learn how to provide quality data. Through this program, I hope to improve my knowledge of validation.

Location: Mazimbu Darajani, Morogoro Municipal, Morogoro Region, Coastal Zone, 67000, Tanzania

Mountain names. A new front in the never-ending cacophony of US political discourse.

Two recent mountain peaks had their names changed by the US Board on Geographical names and there is disagreement in the change sets on whether the name given should be the new indigenous name given by the US Board or the English translation of the US Board. To be clear though, I have not seen the official name from a primary source.

The two peaks were promptly edited to their new names in the local Dena’ina (North and South Yuyanq’ Ch’ex) but within 24 hours changed to what I assume is the English translation of the new Dena’ina name (North and South Heaven’s Breath).

To me it seems like a cut and dry answer based on osm standards what should fall in the “name=” attribute. The editor that changed it to the English translation may feel otherwise though so and to avoid a change set dispute I emailed the Data Working Group to get their decision. I haven’t heard from them in over 10 days however and I haven’t received a message to my follow up email on whether my email got to them. If anyone is on the DWG is interested in bringing me on to handle these issues, I would volunteer. For now though, I’ll hold off on changing the name back and hold faith in the process.

news article:

https://www.adn.com/alaska-news/anchorage/2022/10/14/anchorages-suicide-peaks-receive-new-denaina-name-of-yuyanq-chex/

relevant changesets:

osm.org/changeset/127584704

osm.org/changeset/127643552

osm.org/changeset/127682614

Posted by SHABANI MAGAWILA on 31 October 2022 in English. Last updated on 3 November 2022.

Mapping

In this diary, I’m trying to show some tips and tricks which can be used by beginner, intermediate, and advanced mappers to improve their mapping capacity and speed up mapping. Hopefully, you will learn a lot and enjoying with these simple tricks. Have fun, and you can even comment and ask in case you need further assistance and training. Welcome, all!

 Java OpenStreetMap Editor (JOSM) 

[Issue1:] How to Map Batch Orthogonal Building
In this scenario we're going to use Mapathoner Plugin in JOSM to draw a batch of Orthogonal Building. So, first, make sure you install Mapathoner Plugin in your JOSM.

[Issue2:] How to Map Batch L-shaped Building

[Issue3:] Draw a Courtyard Building

Validation

At first, many new mappers make a lot of mistakes during mapping. And, this can be caused by some reasons, such as little experience in mapping. Therefore, this part will guide them on what to do and do not, as well as demonstrate some previous mistakes done by mappers.

I wrote a blog post about the new advertising panels being installed in the Sydney CBD, and created a map which imports the OSM data using Overpass Turbo.

jakecoppinger.com/2022/10/mapping-sydney-billboards-a-map-of-every-qms-advertising-screen-in-sydney-with-photographs/

Through August and October I visited every QMS advertising panel. I surveyed their location and ref code to add to OpenStreetMap. I uploaded photos of many displays to Mapillary, which you can view by clicking on pins in the map.

Let me know what you think! Any feedback on improving the tagging is also appreciated.

image of ad panel

Location: Quay Quarter, Sydney, Sydney CBD, Sydney, Council of the City of Sydney, New South Wales, 2000, Australia

(As I mentioned, I finally caught corona. Combined with a lack of energy, this is a bit shorter)

Previously…

2022 Jan. Feb. Mar. Apr. May June July Aug.        
2021 Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec.
2020 Jan. Feb. Mar. Apr. May June July Aug. Sept. Oct. Nov. Dec.

See full entry

It is my pleasure to attend that event (unique mappers network Nigeria collaboration with OSM Rwanda to map Rwanda Monthly Mapathon). I have earned more skills, which will help me to improve my mapping skills so that i can edit too many features like roads, buildings and many others, which will help me to contribute to global spatial data.

Location: Kicukiro, Kicukiro District, Kigali City, Rwanda
Posted by b-unicycling on 29 October 2022 in English.

As some will know by now, crannogs are my “thing” at the moment. I was hoping to produce a couple of videos about them on my channel, but it takes a bit longer to get the tag approved than expected. And I can’t tell people how to map crannogs when there is no standard.

But I digress…

While mapping buildings in Co. Cavan in Ireland, I had discovered 12 suspiciously circular features in the lakes within the last 3 weeks, and I had reported them to the National Monuments Service this week. They got back to me yesterday and confirmed 3 as actual crannogs (the rest were apparently just naturally occurring circular vegetation).

If you want to check them out, Bing or Esri Clarity imagery are best.

There are a couple more to report, but I’d rather do it in bulk than send an email every 3 days or so.

I made a quick video about it: https://youtu.be/7BJukQ8hKXw

Posted by rhythmicbalancer on 28 October 2022 in English. Last updated on 29 September 2024.

So, two of my interests are tagging waterways and highways. And of course, where they intersect, there is often a bridge. Here is how my bridge tagging method has progressed over time:

  • Bare minimum - split the highway (using e.g. aerial imagery), set bridge=yes and layer=1. This is conventional, if not particularly informative.

Then I found the National Bridge Inventory, which contains not all, but certainly many of the significant bridges in the USA. This data is quite interesting, it includes detailed info on the bridge structure and its integrity.

One can use this to verify the length of the bridge as drawn on the map, in many cases what’s shown in aerial imagery matches to within 1-2m of the specified length. You can also find data on when the bridge was constructed or rebuilt.

  • Added context - add start_date tag.

Today, I was thinking, it’s not much more difficult to add an area object for the bridge structure itself using the man_made=bridge tag. In fact, one could then move such tags as start_date and bridge:structure into the separate object.

There is also an existing bridge:ref tag which is loosely defined. Here’s my idea. What if we used the NBI structure/bridge number, where available (in the USA)? You might wonder why that would be useful. Well there is a site https://bridgereports.com, which parses the NBI database with some additional refinements, and displays a nicely formatted summary. A plugin might use the structure/bridge number to display such data.

Something like the following. For the highway:

bridge=yes
highway=secondary
layer=1
ref=KY 218

And for the bridge structure [edit: updated per discussion in comments]:

ref:US:nbi:state_code=21
ref:US:nbi:structure_number=044B00032N
structure=beam
layer=1
man_made=bridge
start_date=1978

Here’s how the metadata could be displayed (using bridge ID “044B00032N”): https://bridgereports.com/1211803

Posted by kuopassa on 26 October 2022 in English.

Not only “the mole people” live underground, as there are large urban areas, publicly accessible, built below the ground level, and indoors in general.

As an example of an indoor world: Easton Helsinki, in Finland, which has about 4.8 million visitors per annum. (Source.) It’s built on multiple levels. OpenStreetMap doesn’t yet have support for such multi-levelled maps, but it could: a level is just a layer.

Mostly underground is the bus terminal at Kamppi, in Helsinki. It has elevators and escalators carrying countless people up and down, in and out of tunnels and halls. Most of this world underground isn’t yet seen in OpenStreetMap.

Posted by WilleGIS on 25 October 2022 in English.

TL:DR River Polygons with river lines good, river lines alone bad.

Water Body digitization is the base line of water networks on openstreetmap. Every point, line, and polygon has been either manually created or generated through a computer application. Much like roads, rivers and other water bodies can be and sometimes are crucial resource for transporting goods.

Historically, cities and small towns were generally near a water body for drinking/bathing water, cargo transportation, and in the past one hundred and fifty years rivers are used for electric power generation.

Water Body Polygons are used in all types of maps so why not make these features correct by providing a more detailed polygon over just providing a line.

EX. The Sprague River in Klamath County Oregon is a perfect example of having many twists, turns, islands, and variable width across it’s path. Detailing these features in larger scales may not be as necessary as smaller scales below 1:150,000.

Location: Klamath County, Oregon, United States