How do I track location updates and geofences in Swift?

Tracking location updates and geofences in Swift is essential for many applications that need to respond dynamically based on user location. Utilizing Core Location, a framework provided by Apple, you can effectively manage location-based events and updates.

In this example, you'll learn how to set up a location manager to continuously track the user's location and how to create a geofence that triggers an event when the user enters or exits a specified area.

import UIKit import CoreLocation class LocationManager: NSObject, CLLocationManagerDelegate { var locationManager: CLLocationManager! override init() { super.init() locationManager = CLLocationManager() locationManager.delegate = self locationManager.requestWhenInUseAuthorization() locationManager.startUpdatingLocation() setupGeofence() } func setupGeofence() { let geofenceRegionCenter = CLLocationCoordinate2DMake(37.33233141, -122.0312186) let geofenceRegion = CLCircularRegion(center: geofenceRegionCenter, radius: 100, identifier: "Geofence") geofenceRegion.notifyOnEntry = true geofenceRegion.notifyOnExit = true locationManager.startMonitoring(for: geofenceRegion) } func locationManager(_ manager: CLLocationManager, didUpdateLocations locations: [CLLocation]) { guard let location = locations.last else { return } print("Location updated: \(location.coordinate.latitude), \(location.coordinate.longitude)") } func locationManager(_ manager: CLLocationManager, didEnterRegion region: CLRegion) { print("Entered geofence: \(region.identifier)") } func locationManager(_ manager: CLLocationManager, didExitRegion region: CLRegion) { print("Exited geofence: \(region.identifier)") } }

Location Tracking Geofencing Swift Core Location iOS Development CLLocationManager Location Manager

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?