Introducci贸n a la Integraci贸n Nativa en Android
Integra APIs Nativas en Android
Creaci贸n proyecto base
Google Maps SDK
C贸mo crear una API key para Google Maps en Google Cloud
Creaci贸n de marcadores en Google Maps con Jetpack Compose
C贸mo dibujar rutas en mapas usando polil铆neas en Jetpack Compose
C贸mo enfocar autom谩ticamente mapas usando Camera Update Factory
Quiz: Google Maps SDK
Servicios de Localizaci贸n
Uso de Flows en Kotlin para Controlar Intervalos de Tiempo y Emisi贸n de Datos
C贸mo simular ubicaci贸n en emuladores y dispositivos reales
Creaci贸n de Modelos y C谩lculos de Localizaci贸n con Clean Architecture
Implementaci贸n de Localizaci贸n en Android Usando Flows
Inyecci贸n de dependencia para seguimiento de localizaci贸n en Android
Uso de StateFlows para rastrear ubicaci贸n en aplicaciones Android
Location Tracker
Implementaci贸n de Location Tracker con Inyecci贸n de Dependencias
Quiz: Servicios de Localizaci贸n
Integraci贸n Maps con Localizaci贸n
Integraci贸n de mapas din谩micos con CameraPositionState en Android
Creaci贸n y uso de polil铆neas en mapas con datos reales
Creaci贸n de una pantalla de mapa con Intents y estados en Jetpack Compose
Creaci贸n de un ViewModel para Seguimiento de Localizaci贸n en Android
Quiz: Integraci贸n Maps con Localizaci贸n
Manejo de permisos
Gesti贸n de permisos en Android para localizaci贸n, c谩mara y notificaciones
C贸mo implementar di谩logos para solicitar permisos en Android
Manejo de permisos de localizaci贸n y notificaci贸n en Android
C贸mo gestionar permisos en Android con Jetpack Compose
Quiz: Manejo de permisos
Integraci贸n c谩mara
Integraci贸n de c谩mara en Android con Photo Handler y manejo de permisos
Convierte Bitmaps a ByteArrays en Android con Kotlin
Creaci贸n de intents y estados UI para c谩mara en Android con Kotlin
Implementaci贸n de funciones clave en ViewModel para c谩mara Android
Integrar C谩maraX en Jetpack Compose para Android
Captura y previsualizaci贸n de fotos en Android con Jetpack Compose
C贸mo Mostrar Fotos en Marcadores de Ubicaci贸n en Mapas con Jetpack Compose
Quiz: Integraci贸n c谩mara
Servicios en Android
Implementaci贸n de servicios en Android: normal services y foreground services
Implementar Foreground Services en Android para Persistencia en Segundo Plano
Quiz: Servicios en Android
Transmisiones en Android (Broadcast)
Implementaci贸n de BroadcastReceiver en Android para Escuchar Eventos del Sistema
Pruebas finales y cierre
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Creating efficient location management in an Android application involves more than just getting coordinates. A clear and logical architecture allows you to turn functionality on and off as needed, optimizing resource usage and improving the user experience. Here you will learn how to leverage StateFlows in conjunction with CoroutineScope to control location tracking effectively.
In Kotlin and Android, StateFlows have a special feature: they retain the last value emitted. This means that views can immediately access these values when connecting. Unlike Cold Flows, StateFlows keep the latest information secure and constantly available, ideal for real-time data such as location.
Below is a basic example in Kotlin for defining a MutableStateFlow.
private val locationData = MutableStateFlow(LocationData())val location = locationData.asStateFlow()
Here you create a private MutableStateFlow to handle the information internally and then expose a more secure and controlled version to the rest of the application via asStateFlow().
Using boolean variables in MutableStateFlows allows you to determine when the application is active observing location changes and when it is paused.
Example in code:
private val isTracking = MutableStateFlow(false)val tracking = isTracking.asStateFlow()
In this way, it is easy to pause or reactivate tracking with simple assignments.
It is important to distinguish clearly:
This approach provides clarity in identifying what aspect is affecting the proper functioning of the tracking.
To monitor how much time has elapsed since you started location observation, it is recommended to start another MutableStateFlow as shown:
private val elapsedTime = MutableStateFlow(Duration.ZERO)val elapsed = elapsedTime.asStateFlow()
Using this implementation, you can easily check and constantly display how long the operation has been running.
Dedicated functions to control each part of the process ensure clarity and order in your code:
fun startObservingLocation() { isObservingLocation.value = true}
fun stopObservingLocation() { isObservingLocation.value = false}
fun finishTracking() { stopObservingLocation() setIsTracking(false) elapsedTime.value = Duration.ZERO locationData.value = LocationData()}
fun setIsTracking(isTracking: Boolean) { this.isTracking.value = isTracking}
This structure ensures order and a clear division of responsibilities within your Android application.
Do you have doubts about how to apply these concepts in your current project? Leave us your question in the comments and we will continue learning together.
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