This provider has features allowing you to control the behaviour of background-tracking, striking a balance between accuracy and battery-usage. In stationary-mode, the plugin attempts to decrease its power usage and accuracy by setting up a circular stationary-region of configurable stationaryRadius
. iOS has a nice system Significant Changes API, which allows the os to suspend your app until a cell-tower change is detected (typically 2-3 city-block change) Android uses LocationManager#addProximityAlert.
When the plugin detects your user has moved beyond his stationary-region, it engages the native platform's geolocation system for aggressive monitoring according to the configured desiredAccuracy
, distanceFilter
and interval
. The plugin attempts to intelligently scale distanceFilter
based upon the current reported speed. Each time distanceFilter
is determined to have changed by 5m/s, it recalculates it by squaring the speed rounded-to-nearest-five and adding distanceFilter
(I arbitrarily came up with that formula. Better ideas?).
(round(speed, 5))^2 + distanceFilter
is calculated as the square of speed-rounded-to-nearest-5 and adding configured #distanceFilter.
(round(speed, 5))^2 + distanceFilter
For example, at biking speed of 7.7 m/s with a configured distanceFilter of 30m:
=> round(7.7, 5)^2 + 30
=> (10)^2 + 30
=> 100 + 30
=> 130
A gps location will be recorded each time the device moves 130m.
At highway speed of 30 m/s with distanceFilter: 30,
=> round(30, 5)^2 + 30
=> (30)^2 + 30
=> 900 + 30
=> 930
A gps location will be recorded every 930m
Note the following real example of background-geolocation on highway 101 towards San Francisco as the driver slows down as he runs into slower traffic (geolocations become compressed as distanceFilter decreases)
Compare now background-geolocation in the scope of a city. In this image, the left-hand track is from a cab-ride, while the right-hand track is walking speed.
NOTE: distanceFilter
is elastically auto-calculated by the plugin: When speed increases, distanceFilter increases; when speed decreases, so does distanceFilter.