Wondering whether anyone in my #gischat#eochat#geospatial network knows of any good tutorials for downloading and processing #Overture data using Python?
Also, I'm looking at xcube as a way of generating data cubes using STAC - is this a sensible approach?
The Overture Maps Foundation today launched the first beta.
Backed by the likes of Amazon, Esri, Meta, Microsoft & TomTom, is getting one step closer to launching a production-ready open dataset for developers who need geospatial data.
Transit: #GTFS (General Transit Feed Specification) data can be found in TransitLand, but be careful because it is a proprietary aggregate. The GTFS source is open through and will have to be downloaded as a ZIP.
#PenumbraOverture is fun I hope to do a full playthrough of it in the future check out my #Twitch stream and please boost this post as I'm a #Smallstreamer
https://overturemaps.org/ <-- Overture Maps Foundation home page, part of the Linux Foundation
I went to a ‘casual’ seminar by the chief engineer at [#Overture a few months ago; I was rightly wary of motives, but what he described in my opinion has challenged me – in a good way – to keep an open mind]
“Who is Overture for? Overture is for developers who build map services or use geospatial data…”
My outsider's speculative take on the #overture data release:
The data as-is probably isn’t useful for end products - far less so than #openstreetmap. It could be useful right now to demonstrate each consortium member’s “skin in the game”: each company doesn’t have any incentive to release their own dataset for free, unless they can guarantee simultaneous access to every other member’s datasets.
A open source strategy for overcoming the Prisoner’s Dilemma!
Ran through the new overture data using https://bdon.github.io/overture-tiles. I assume with an alpha release it's going to be rough. Hopefully this gets cleaned up.
Some data very up to date - most is wrong from either a date perspective or spatial location. Makes me think it's phone collected data. I'm curious where it came from. Overall I chalk it up to "it's alpha". #osm#overture
Why are people calling #Overture places database “alpha quality”?
All the big Overture companies have been involved in #OpenStreetMap for years, some almost a decade (e.g. Facebook, Microsoft). You don't really believe that this is something they threw together in an afternoon, do you?
This is probably the best quality they could do! 🤣
(Maybe the OpenStreetMap approach is just better 😉😉)
I've been around #OpenStreetMap for years, and I've so often seen the Big Megacorps calling our community-based, commons-orientated rubbish and no good, and on the way out. For years they've promised that some revolutionary new approach is needed (where they are co-incidentally in the centre), and without a radical change, we're doomed!
Then they produce this #Overture Places Database...
I just did a quick evaluation of #Overture#OvertureMaps POI data in a local shopping street (based on map by @bdon):
39% of POIs were correctly placed
15% unverifiable (offices etc.)
11% 5-10 meters off
5% >10 meters off
6% obsolete (shops long gone etc.)
23% completely bogus (nothing of that name in the area, gibberish etc.)
Another 55% of the total mapped POIs were missing (clearly visible open shops not in the dataset)
At this point, this data looks completely useless to me. 😳
The more I look at Overture the more it looks like "We like OSM but there are too many nerds and not enough product managers and corporate control, so let's invent something new for no good reason"