Introducci贸n a la Integraci贸n Nativa en Android

1

Integra APIs Nativas en Android

2

Creaci贸n proyecto base

Google Maps SDK

3

C贸mo crear una API key para Google Maps en Google Cloud

4

Creaci贸n de marcadores en Google Maps con Jetpack Compose

5

C贸mo dibujar rutas en mapas usando polil铆neas en Jetpack Compose

6

C贸mo enfocar autom谩ticamente mapas usando Camera Update Factory

Quiz: Google Maps SDK

Servicios de Localizaci贸n

7

Uso de Flows en Kotlin para Controlar Intervalos de Tiempo y Emisi贸n de Datos

8

C贸mo simular ubicaci贸n en emuladores y dispositivos reales

9

Creaci贸n de Modelos y C谩lculos de Localizaci贸n con Clean Architecture

10

Implementaci贸n de Localizaci贸n en Android Usando Flows

11

Inyecci贸n de dependencia para seguimiento de localizaci贸n en Android

12

Uso de StateFlows para rastrear ubicaci贸n en aplicaciones Android

13

Location Tracker

14

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

15

Integraci贸n de mapas din谩micos con CameraPositionState en Android

16

Creaci贸n y uso de polil铆neas en mapas con datos reales

17

Creaci贸n de una pantalla de mapa con Intents y estados en Jetpack Compose

18

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

19

Gesti贸n de permisos en Android para localizaci贸n, c谩mara y notificaciones

20

C贸mo implementar di谩logos para solicitar permisos en Android

21

Manejo de permisos de localizaci贸n y notificaci贸n en Android

22

C贸mo gestionar permisos en Android con Jetpack Compose

Quiz: Manejo de permisos

Integraci贸n c谩mara

23

Integraci贸n de c谩mara en Android con Photo Handler y manejo de permisos

24

Convierte Bitmaps a ByteArrays en Android con Kotlin

25

Creaci贸n de intents y estados UI para c谩mara en Android con Kotlin

26

Implementaci贸n de funciones clave en ViewModel para c谩mara Android

27

Integrar C谩maraX en Jetpack Compose para Android

28

Captura y previsualizaci贸n de fotos en Android con Jetpack Compose

29

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

30

Implementaci贸n de servicios en Android: normal services y foreground services

31

Implementar Foreground Services en Android para Persistencia en Segundo Plano

Quiz: Servicios en Android

Transmisiones en Android (Broadcast)

32

Implementaci贸n de BroadcastReceiver en Android para Escuchar Eventos del Sistema

33

Pruebas finales y cierre

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Uso de StateFlows para rastrear ubicaci贸n en aplicaciones Android

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Resources

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.

What is a StateFlow and how does it work in Android?

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.

How can I use StateFlows to manage 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().

In what way could you control the tracing with booleans?

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.

What is the difference between 'tracking' and 'observing location'?

It is important to distinguish clearly:

  • isTracking is for specifically controlling when to pause or run tracking.
  • isObservingLocation indicates whether all conditions are met, such as permissions enabled, to start location observing.

This approach provides clarity in identifying what aspect is affecting the proper functioning of the tracking.

How do I record the time since the start 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.

How to manage the start and end of the trace?

Dedicated functions to control each part of the process ensure clarity and order in your code:

  • To activate the tracking:
fun startObservingLocation()  {  isObservingLocation.value  = true}
  • To stop location observing:
fun stopObservingLocation()  {  isObservingLocation.value  = false}
  • Completely terminate the operation (stopping observations and restoring initial data):
fun finishTracking()  {  stopObservingLocation()  setIsTracking(false)  elapsedTime.value  = Duration.ZERO  locationData.value  = LocationData()}
  • To directly set whether tracking is active or not:
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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