because I am the only one in Adelaide who actually checks the class of these roads with the official source

Uh, no.

The original import of data.sa.gov.au road names was via https://wiki.openstreetmap.org/wiki/Import/South_Australian_Roads There was a fair amount of QA occuring as those were manually reviewed before imported or renamed. It was done with the community at the time in a collaborative fashion.

You can see the comments there regarding residential vs unclassified being unclear in the source data.

Since 2015, there’s a lot of people who have driven, ridden, and physically surveyed a lot of this, correcting things that are unmade road reserves, no longer in active use & more.

If you are making corrections based on survey, updated imagery, or similar - go for it. But if you are looking at a single dataset as the source of truth, there’s going to be issues. An example - not related to your mapping - look at the current state of unnamed roads in SA via https://qa.poole.ch/ This was effectively 0 in ~2015; and while some minor new residential roads would be constructed, it seems unlike we’d have made new roads carved out. But they exist in fair numbers now. Why? Because the microsoft mapping team decided to vomit out a bunch of highway unclassified/residential for tracks, driveways and more.

Worse, remote South Australia is a big place. A lot of long distance travellers use maps like OSM. If you misclassify something, you risk ending up with situations like this: https://www.abc.net.au/news/2021-11-13/emergency-supplies-dropped-to-family-of-four/13630088.

Nice. One of the areas that has fascinated me is taking something like OpenFoodFacts (ODBL, rdf dump @ https://world.openfoodfacts.org/data), then tracing the manufacturer down to where they actually are on OSM via wikidata “brands”; so that you can actually eat “local”.

This makes that kind of query a whole step easier; though a next level up would be recording the manufacturing addresses in OSM from the packaging details.

I quite enjoy seeing your edits, particularly in the more remote areas of SA!

This is useful mapping, some local authorities have quite good data on this.

The urban heat island effect is something that will challenge a lot of cities as climate change bites; so the more data mapped; the better decisions can be made.

https://www.moreland.vic.gov.au/urban-heat-island talks about the wider local government possible actions.

http://opentrees.org/ may be of interest as well.

Are there ways you could turn this into a maproullette challenge to spread the effort, an you take on a higher level QA role? Are the buildings all uniformly misplaced by something a transformation could correct, or each uniquely wrong?

https://data.sa.gov.au/data/dataset/https-gtfs-adelaidemetro-com-au is the GTFS data, CC BY

Consider other options/different customers.

IE: Producing maps (via overpass) of solar panel deployment on residential or large commercial properties - would solar panel installers pay you to improve the coverage in the area; so they could target their marketing? Or would local governments find it valuable?

https://www.industry.gov.au/strategies-for-the-future/promoting-innovation-precincts ? Possible landuse=industrial for a start?

I have found that I can get the most ‘bang for buck’ when I map along the lines of my hobbies, and how that can help others with similar hobbies.

For example, I enjoy riding - I’m fairly confident through strava heat maps and road imports that my entire state is ‘complete enough’. I’ve ended up mapping in other countries based on improve-osm and strava to identify places other cycles do go, but aren’t routeable; or people drive, but aren’t currently routable.

How easy would it be to fork improveosm.org and add these + the mapillary street signs as a layer in that version of ID? That could help these go from “probable” to “almost certain” where there’s multiple hints from GPS data and imagery

A good way to help may well be via improveosm.org - there’s a lot of GPS data available indicating some of the more heavily used roads.

Just to be a pain, what are the chance of ‘publish as gist’ or ‘publish to github’ ; similar to what geojson.io offers?

That swaps from “one person who edits, maintains the query” to “anyone can copy and improve on with minimal clicks”.

\o/ Hurray!

There’s a lot of cloud cover in imagery often, which makes life a bit hard!

One easy way to improve this is to use something like Mapillary or OpenStreetCam as you navigate the area - not perfect, but it does give people something to map :)

Would also be worth adding such a feature to ID to warn, similar to untagged ways - the less opportunity to accidentally key in invalid data, the less has to be cleaned up by tools later.

+1 in general to the idea; but I’d be interested to know what exceptions/edge cases exist in the data.

Lesiure pitch without sport: http://overpass-turbo.eu/s/nkB

The highway without surface is a bit more complex, as there’s a lot of values and the defaults by country/area (http://www.openstreetmap.org/user/CloCkWeRX/diary/39611)

http://osmose.openstreetmap.fr/en/map/ is probably the better spot for the deprecated stuff (and it would be also good to have a ‘one click osmose to maproulette challenge’ tool).

I could try to propose the other changes from my fork (the version at su.openstreetmap.it)

+1 to that, yes please!

The last generated file is a year old, but there’s still a fair bit in there. https://drive.google.com/drive/u/0/folders/0B1JwNHL1bER0VlZLQkRZRUUySlk

There’s still plenty left (11 Jan 2016: 648); but it can be a bit tricky without someone regenerating the file frequently.

Worth having a look!

With some of the Parks, you might want to tag the smaller areas a landuse=grass/garden/etc or similar, and make the overall relation have one tag for leisure=park.

That aside, keep it up :) Traced a few larger buildings from satellite imagery