If you want fast GPS coordinates, then you give more location hints. Local privacy regulations apply.
For anyone else confused: in this case NLP stands for "Network location provider," not "natural language processing"
I think NLPs have been less helpful for me. Like I'll go to work and it'll think I'm in another state (our internet uses the same IP as our headquarters, and the SSID is the same for all locations). Not sure why it can't reject the bad guess when it sees how off it is from my GPS coordinate.
Isn't this only Google Maps though?
nope, it's actually used system wide for many things, mostly low power geolocation, apple has it's own NLP system, and there's actually a few privacy respecting ones which you can use if you have a rooted phone (Mozilla NLP/DejaVu NLP, with the latter being offline and relying on a database made by itself using the data from a time you had both GPS and wifi active)
Shiiiiiit. I've never heard of NLP. How can I check which one my phone uses?
Do you think this one is privacy respecting?
Local NLP Backend (Location provider for UnifiedNlp and microG using only local data.) https://f-droid.org/packages/helium314.localbackend/
Isn’t Mozilla deprecating theirs soon?
This is almost how RAIM works in an airplane
So is this more or less accurate than location by cell tower? I used to use that as an option in Llama all the time. Didn't require a GPS ping, and once I had trained it sufficiently, it was fairly accurate with minimal background work. Heck, around my work I had problems where I walked around the outside of the building and it figured I wasn't at work anymore. I'd say that's pretty darn accurate. But I know that probably only works for really dense areas with tons of towers to handle tons of phones.
Just feels like it would be more accurate than trusting that SSIDs are completely unique when there's tons of instances where the same SSID is used in multiple locations...
