Frau mit Fahrrad 🚴🏼♀️<p>Taschentuchnachschub geholt und <a href="https://ruhr.social/tags/osm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>osm</span></a> noch ein bisschen mit <a href="https://ruhr.social/tags/streetcomplete" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>streetcomplete</span></a> gefüttert ✅</p>
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#streetcomplete
9 posts6 participants1 post today
StreetComplete, https://streetcomplete.app/.
A mobile app (Android only for the moment) that helps finding missing OpenStreetMap data around you, and displays them like quests 
! Given information are automatically added to OSM under your name.
It’s so cool!
FAQ: https://wiki.openstreetmap.org/wiki/StreetComplete/FAQ
iOS: NLNet is sponsoring iOS support, https://github.com/streetcomplete/StreetComplete/issues/5421#issuecomment-2849221573
Replied to barefootstache
@barefootstache @philip For mapping out the surveillance items specifically, I've been working with DeFlock, which unfortunately only does its work inside of Discord :( The tagging schema is evolving, but has largely coalesced around something like this for Flock devices:
```
camera:mount=pole
camera:type=fixed
direction=150
electricity=solar
man_made=surveillance
manufacturer=Flock Safety
manufacturer:wikidata=Q108485435
surveillance=outdoor
surveillance:type=ALPR
surveillance:zone=traffic
```
The `electricity` key can take either `solar` or `grid` as values. `surveillance:type` key's value is either `ALPR` or `gunshot_detector`, depending on the device. `surveillance:zone` key's value is typically either `traffic` or `parking`, though `entrance` can sometimes be relevant (e.g., ALPRs pointed at the gated entrances to apartment complexes).
Additional tags that are sometimes included are the `operator` and `operator:wikidata` tags. Typically, if a public info request is successfully made, it'll say who leases the cameras and other devices from Flock, and that becomes the `operator` (typically a police department). Or, if a particular entity is known to use Flock devices, such as Home Depot --- they use them across at least some of their stores' parking lots --- then that would become the operator. Ultimately though, most operators end up sharing their data with others, so who the specific operator is isn't that pertinent IMHO.
I don't think anything has been added to the OSM wiki though. Maybe I should get this info on there, since there, it will outlast any ephemeral chatter in a Discord server.
Actually, there is some guidance for Flock in Richmond, Virginia:
https://wiki.openstreetmap.org/wiki/Richmond,_Virginia/Tags#Flock_Safety
Might introduce a dedicated page to the wiki though, to get/keep everyone on the same page.
As for workflow:
1. Pick an area to survey. I do #GigWork #DoorDash, so I drive all over the place regularly. When I see a Flock device, I note the area down for follow-up survey.
2. Drive around the area, recording path with #OsmAnd (for GPX files).
3. Upon seeing a device, find a safe place to pull over.
4. Use #StreetComplete to add an initial `surveillance` (shot spotters) or `surveillance camera` (ALPRs) thing.
5. Add a note via StreetComplete with more info on the device, including orientation, and a picture if possible.
6. Go home.
7. Pull up iD, and go through my notes, fleshing out the tags on all the surveillance nodes I added early via StreetComplete.
wiki.openstreetmap.orgRichmond, Virginia/Tags - OpenStreetMap Wiki
Replied in thread
It all depends on the level of details you want to add.
I start off with #ArmChairMapping and once have grabbed most major objects like buildings and landcover. Then I go to the streets to add more details like the values of the buildings and/or addresses.
#StreetComplete permits notes, though prefer to use #OsmAnd instead where I have created a set of quick actions to speed up the process. #EveryDoor in another favorite under #MicroMapping.
Ho Lee Crap this region is crawling with surveillance. I mean, I kinda figured. It has a reputation as being a "bad" part of town. But damn. Dozens of Flock shot spotters, and at least a dozen ALPRs. Working on adding details to the map now. Used #StreetComplete for initial survey. Been using it often enough that I might try out adding a flow for Surveillance Things specifically rather than having to tack on notes and go back in via iD to flesh things out.
Rein spaßhalber aktualisiere ich alle meine Karten für #osmand gerade.... 8GB
Replied in thread
@rust_osm_tb #streetcomplete could ask for each building: what colour is that house?
Sometimes I am really struggling with kerbs matching the pics with reality.
Especially, the two top ones which should be 'raised' and 'lowered'.
I had a look and it is clearly defined. >3cm and ~3cm.
https://wiki.openstreetmap.org/wiki/Key:kerb
I could imagine this little information in the questions could help people in their decision. Wdyt?
Can't be that hard to change I think...
I guess, I have to wait until next year to add the next missing fact...
#2025 #streetcomplete #osm #jokeoftheday
Pierwszy dzień na #streetcomplete i dobite 130 contributów 
Oczywiście postarałem się, by wszelkie dodane przez mnie informacje były dokładne i prawidłowe (chyba, że gdzieś się pomyliłem) 
Nawet podczas wakacyjnego wyjazdu za granicę można się przyczynić na rzecz wolnego oprogramowania 
Apka też potrafi taki urozmaicić, gdy musimy przejść się w dane miejsce, by uzupełnić daną informację czy bliżej się czemuś przyjrzeć. Przypomniało mi to czasy 2017-2018 roku, gdy wtedy chodziłem i łapałem pokemony w Pokemon GO 
Zachęcam was, byście wy również przyczynili się na rzecz projektu #OpenStreetMap i dodawali informacje na mapach. Poniżej link do F-Droida
https://f-droid.org/packages/de.westnordost.streetcomplete
#osm
Do you also first take a POI photo using the system camera, and then create a note in #StreetComplete and take photos again, but this time using StreetComplete?
Replied in thread
@simon ah, so this is only a ranking amongst mappers using #StreetComplete, so it doesn't even count in all my @vespucci_editor edits that I'm doing for geometry based or heavily copy/paste-based workflows.
The HDYC-based rankings feel more realistic/like what I expected.
Replied in thread
Replied to mfuhrmann
@mfuhrmann
#streetcomplete ist doch fast ein Spiel 
Kannte die Statistiken dort noch gar nicht. Sehr schick.
We just came back from a 4h walk in #jachenau near #lenggries and #badtoelz.
I did quite some #openstreetmap / #streetcomplete additions, took some photos and clips...
It's still quite hazy, but I think it's getting better.
Trying to compile a short video later... Stay tuned.
Después de leer un poco en la playa, he vuelto con #StreetComplete, y he empezado otra vuelta a Santa Cruz, esta vez centrándome en bancos, papeleras y comercios.
También he empezado a buscar si habría gente interesada para formar un grupo de Telegram de #OpenStreetMap de #LaPalma o al menos de #Canarias. A ver si hay suerte.
Replied in thread
@rompe ya somos del mismo club...
Yo tome la decisión de ir comentando cada tanto de mis avances... en los últimos 3 años y parece que he conseguido arrastrar a algún despistando a usar #StreetComplete
Por ahí incluso publiqué una guía extra veloz para comenzar a usarlo y varios parecieron mostrar algo mas que solo interés
Continued thread
1k points in one week wasn't easy. I can't do this every week 
I am wondering if there is a statistic...
Continued thread
Zum Projekt beitragen könnt Ihr schon heute über das dezentrale Pflegen von Daten via #OpenStreetMap.
F-Droid- / Android-Nutzenden empfehle ich die App #StreetComplete @streetcomplete. Damit kannst Du von unterwegs beim Kartieren bzw. beim Vervollständigen und Aktualisieren der Kartierung helfen. Also kennzeichnen, was für ein (Rad-)Weg es ist, wie breit die Straße ist, Beleuchung, Oberfläche, Park-Streifen, Bürger-Steige usw.
Macht mit!