Jesse Bounds 09c9100891 Introduce MGLLocation Manager
https://github.com/mapbox/mapbox-gl-native/pull/4115

This change makes background data gathering more efficient by disabling
standard location updates when the device has been stationary for at
least five minutes. It also establishes region monitoring and
significant location change monitoring so that if the device appears to
be in motion again then background telemetry data collection can resume.
All of this reduces the amount of time required for telemetry data
collection to the time the device is in motion only. It also only
applies to host apps that already run in the background and have the
always location permission from their users.

This also includes some changes to make the internal pause/resume API of
the MGLMapboxEvents class less complex and autonomous. The side effects
of the map view waking or sleeping are no longer required for mapbox
events to work as intended.
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Mapbox GL Native

A library for embedding interactive, customizable vector maps into native applications on multiple platforms. It takes stylesheets that conform to the Mapbox GL Style Specification, applies them to vector tiles that conform to the Mapbox Vector Tile Specification, and renders them using OpenGL. Mapbox GL JS is the WebGL-based counterpart, designed for use on the Web.

The Mapbox GL ecosystem

This repository hosts the cross-platform Mapbox GL Native library, plus convenient SDKs for several platforms. The cross-platform library comes with a GLFW-based demo application for Ubuntu Linux and OS X. The SDKs target the usual languages on their respective platforms:

SDK Languages Build status
Mapbox GL Native C++14 Travis Coverage Status
Mapbox Android SDK Java Bitrise
Mapbox iOS SDK Objective-C or Swift Bitrise
Mapbox OS X SDK Objective-C or Swift Bitrise
node-mapbox-gl-native Node.js Travis

Additional Mapbox GL Native–based libraries are developed outside of this repository:

If your platform or hybrid application framework isn’t listed here, consider embedding Mapbox GL JS using the standard Web capabilities on your platform.

Description
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Readme 702 MiB
Languages
C++ 54%
Kotlin 11.8%
Java 11%
Objective-C++ 9.7%
Objective-C 5.8%
Other 7.5%