UnifiedNLP Backends

MicroG needs some backends to get network Location.

I should take these two paragraphs to clarify that Network location is NOT GPS. MicroG has nothing to do with your GPS. Network Location is that hugely approximated wide-circle that appears before you get a GPS Lock.

If you cannot get a location even on device only location mode, it's not MicroG. It's your app, your ROM, your device, or your cursed house. Change any of these.

So, there are various Location Backends available, whose pros and cons have been detailed in the UNLP readme, along with their FDroid download links if your installer did not include them.

Enable high accuracy location, enable the backends you want in microg unifiednlp section and click on the gears to configure them

Troubleshooting
-If location (NLP) is not working:
--download and install this: https://f-droid.org/app/com.vonglasow.michael.satstat
--Enable High Acccuracy Location and open SatStat. Wait for it to get your location.
--Don't close SatStat, minimize it and open MicroG Settings > Self-Check. All boxes shold be checked.


https://github.com/microg/android_packages_apps_UnifiedNlp/blob/master/README.md


Some links to location backends and their respective documentations.

Mozilla: https://mozilla.github.io/ichnaea/

Local GSM Backend: https://github.com/n76/Local-GSM-Backend

Local WiFi Backend: https://github.com/n76/wifi_backend

OpenBMap: https://github.com/openbmap/radiocells-nlp-android

Déjà Vu: https://github.com/n76/DejaVu

Please note that it is not necessary to install all of them, as most do almost the same.

Standalone installer for UNLP + backends, part of the MinMicroG project

The 'Backends' edition zip in the latest release:
github.com/friendlyneighborhoodshane/minmicrog_releases/releases


#microg #unifiednlp #location #gps #maps #backends #guide #foss
Guide on @nogoolag

Add Google Map's live traffic overlay in Osmand

https://gfist.com/index.php/blog/37-osmand-google-traffic

It will show traffic, but not be included in routing


#traffic #osmand #gmaps #maps

Developer of Maps (F-Droid) needs help. It seems there is no possibility to use the official maps.me map server anymore (or a mirror), the only option is building our own maps. He is looking for people who could kindly provide a server with updates for the whole planet. It takes more than 3 days to generate the data and about 400GB of free space.

If you're interesting, here are the details: https://gitlab.com/axet/omim/issues/77

#maps #fd #fdroid

OpenDroneMap (ODM)

ODM is an open source command line toolkit for processing aerial drone imagery. Typical drones use simple point-and-shoot cameras, so the images from drones, while from a different perspective, are similar to any pictures taken from point-and-shoot cameras, i.e. non-metric imagery. OpenDroneMap turns those simple images into three dimensional geographic data that can be used in combination with other geographic datasets.

https://github.com/OpenDroneMap/ODM/blob/master/README.md
Docs: https://docs.opendronemap.org
Community: http://community.opendronemap.org

WebOpenDroneMap (WebODM)
ODM graphical user interface
https://github.com/OpenDroneMap/WebODM


📡 @NoGoolag
#maps #alternatives #aerial #drone #kite #satellite #earth #gmaps

MapKnitter (MapKnitter.org)

is a free and open source tool for combining and positioning images (often from MapMill.org) in geographic space into a composite image map. Known as “orthorectification” or “georectification” to geographers, this step covers the process of figuring out where images can be placed on an existing map, and how they can be combined, or “stitched” together. You are likely to have many images of overlapping or identical areas, which is why MapMill or some type of sorting is used to determine which source images to use from the original set.

MapKnitter can make maps from any image source, but it particularly lends itself to making maps with balloons and kites. The manual process of making maps with MapKnitter differs greatly from automated aerial imaging systems. In those systems the imaging is of a higher precision and processed with spatial and telemetry data collected along with the imagery, typically at higher altitudes and with consistent image overlap in the flight path sequence.

With MapKnitter the cartographer dynamically places each image and selects which images to include in the mosaic. Although the approaches are similar in that they use some type of additional information (usually pre-existing imagery of a lower resolution) as a reference, and that they are bound to specific cartographic elements such as map scale and map projection.

https://mapknitter.org
Docs: https://publiclab.org/wiki/mapknitter


📡 @NoGoolag
#maps #alternatives #aerial #drone #kite #satellite #earth #gmaps

Google redraws the borders on maps depending on who’s looking

Video: Invidio.us/watch?v=rZpc2_xnSfc

via www.washingtonpost.com


#gmaps #Google #border #maps #why

Mapillary, the crowdsourced database of street-level imagery, has been acquired by Facebook

Mapillary, the Swedish startup that wants to take on Google and others in mapping the world via a crowdsourced database of street-level imagery, has been acquired by Facebook, according to the company’s blog. Terms of the deal aren’t being disclosed.

The Mapillary team and project will become part of Facebook’s broader open mapping efforts. Mapillary also says its “commitment to OpenStreetMap stays.” Writes Mapillary co-founder and CEO Jan Erik:

From day one of Mapillary, we have been committed to building a global street-level imagery platform that allows everyone to get the imagery and data they need to make better maps. With tens of thousands of contributors to our platform and with maps being improved with Mapillary data every single day, we’re now taking the next big step on that journey.

As Erik notes, Facebook is known to be “building tools and technology to improve maps through a combination of machine learning, satellite imagery and partnerships with mapping communities.” Mapping has immediate use-cases for the social networking behemoth, such as Facebook Marketplaces and its local business offerings, while another application is augmented reality.

https://techcrunch.com/2020/06/18/mapillary-facebook/

https://www.reuters.com/article/us-facebook-deals-mapillary/facebook-acquires-crowdsourced-mapping-company-mapillary-idUSKBN23P3N6

https://blog.mapillary.com/news/2020/06/18/Mapillary-joins-Facebook.html

https://www.openstreetmap.org/user/jesolem/diary/393358

https://www.openstreetmap.org/user/juminet/diary/393393


#mapillary #fb #Facebook #maps #osm

#maps
Navigation apps
OsmAnd+ - https://f-droid.org/en/packages/net.osmand.plus/

Maps.me - https://f-droid.org/en/packages/com.github.axet.maps/


Public transport apps
Transportr - https://f-droid.org/en/packages/de.grobox.liberario/

Offi - https://f-droid.org/en/packages/de.schildbach.oeffi/

You can now follow people [Yikes!] on Google Maps, the company's newest social network

Google Maps is pretty much the go-to app for navigation these days, but it packs a lot of additional features as well, like offering business info and personalized recommendations. Google experimented with allowing users to follow select Local Guides last year, and now the company is expanding the program to include all users — that's right, Google Maps is now a social network.

Rolling out globally today, users on Google Maps who have shared photos, reviews, or lists publicly will be followable. The updated profiles look a lot like a Twitter or Facebook page, with a follow button and the number of followers the account has. Once you follow a user, you'll receive their posts, recommendations, and other wisdom in the Updates tab of the Maps app.

https://www.androidpolice.com/2020/07/30/you-can-now-follow-people-on-google-maps-the-companys-newest-social-network/

#google #maps #privacy

How Google Maps uses DeepMind’s AI tools to predict your arrival time

A lot of data and a lot of neural networks

Google Maps is one of the company’s most widely-used products, and its ability to predict upcoming traffic jams makes it indispensable for many drivers. Each day, says Google, more than 1 billion kilometers of road are driven with the app’s help. But, as the search giant explains in a blog post today, its features have got more accurate thanks to machine learning tools from DeepMind, the London-based AI lab owned by Google’s parent company Alphabet.

https://www.theverge.com/2020/9/3/21419632/how-google-maps-predicts-traffic-eta-ai-machine-learning-deepmind

#Google #Maps #DeepMind #AI

Plan Your Route Privately: DuckDuckGo Now Has Driving and Walking Directions

https://spreadprivacy.com/duckduckgo-search-map-directions

Comments: https://news.ycombinator.com/item?id=24745511


#ddg #duckduckgo #maps #alternatives

Openstreetmap is having a moment – the billion dollar dataset next door

https://joemorrison.medium.com/openstreetmap-is-having-a-moment-dcc7eef1bb01

Comments
https://news.ycombinator.com/item?id=25137235


#osm #openstreetmaps #maps

Six Reasons Why Google Maps Is the Creepiest App On Your Phone

Google knows where you are, and so do advertisers.

Google Maps knows everything. Not just about every street, and every cafe, bar and shop on that street, but the people who go to them. With 1 billion monthly active users, the app is embedded in people’s lives – directing them on their commute, to their friends’ and families’ homes, to doctor’s appointments and on their travels abroad.

The fact that Google Maps has the power to follow your every step doesn't automatically mean it’s misusing that power. But they could, which is an issue in and of itself, especially since Google’s headquarters are in the US, where privacy legislation is looser than in Europe and intelligence agencies have a history of surveilling private citizens (I see you, NSA).

Yes, Google Maps is incredibly useful. But here are just a few reasons to double check your privacy settings and ask yourself how much personal data you’re willing to sacrifice in the name of convenience.

https://www.vice.com/en/article/3an84b/six-reasons-why-google-maps-is-the-creepiest-app-on-your-phone

#google #maps #privacy

Google #Maps has an open source rival powered by #Meta and #Microsoft . This is what their first map with unpublished data looks like

Late last year we saw Amazon Web Services (AWS), Meta, Microsoft and TomTom create the Overture Maps Foundation (OMF), which has managed to capture 59 million "points of interest" such as restaurants, landmarks, streets and regional boundaries. Now their data is being made public to enable companies to create their own maps, without having to rely on Google or Apple.

https://overturemaps.org/overture-maps-foundation-releases-first-world-wide-open-map-dataset/

#maps #usa #ukraine #russia

#GPS & #Maps on real earth - #WitsIt GetsIt & #Jeranism
Clipped By #RobotPolisher🔥🔥🔥