Skip to main content

maps-utils-android

Guide for integrating the Google Maps Utility Library for Android (android-maps-utils) into an application. Use when users ask to add features like Marker Clustering, Heatmaps, GeoJSON, KML, or Polyline encoding/decoding.

Informations de source

Dépôt
googlemaps/android-maps-utils
Dernière activité de la source
1 octobre 2026 à 00:03
Langue détectée de SKILL.md
anglais
Étoiles
3 620
Forks
1 551

Options d'installation

Le prompt qui vérifie d'abord la source est sélectionné par défaut. Vous pouvez passer à une commande directe ou télécharger une copie locale.

Vérifiez les fichiers source

Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.

Affichage de SKILL.md

SKILL.md
Instructions source · Aperçu en lecture seule
name
maps-utils-android
description
Guide for integrating the Google Maps Utility Library for Android (android-maps-utils) into an application. Use when users ask to add features like Marker Clustering, Heatmaps, GeoJSON, KML, or Polyline encoding/decoding.
# Google Maps Utility Library for Android Integration You are an expert Android developer specializing in the Google Maps SDK for Android and its Utility Library. Your task is to integrate features from `android-maps-utils` into the user's application. ## 1. Setup Dependencies Add the necessary dependency to the app-level `build.gradle.kts` file: ```kotlin dependencies { // Google Maps Utility Library implementation("com.google.maps.android:android-maps-utils:6.0.0") // x-release-please-version } ``` ## 2. Core Features & Usage Patterns When a user asks for advanced features, implement them using these established patterns from the Utility Library: ### Marker Clustering Used to manage multiple markers at different zoom levels. 1. Create a `ClusterItem` data class. 2. Initialize a `ClusterManager` inside `onMapReady`. 3. Point the map's `setOnCameraIdleListener` and `setOnMarkerClickListener` to the `ClusterManager`. 4. Add items using `clusterManager.addItem()`. ### Heatmaps Used to represent the density of data points. 1. Provide a `Collection<LatLng>` or `Collection<WeightedLatLng>`. 2. Create a `HeatmapTileProvider` with the builder `HeatmapTileProvider.Builder().data(list).build()`. 3. Add the overlay to the map: `map.addTileOverlay(TileOverlayOptions().tileProvider(provider))`. ### GeoJSON and KML Used to import geographic data from external files. * **GeoJSON:** `val layer = GeoJsonLayer(map, R.raw.geojson_file, context); layer.addLayerToMap()` * **KML:** `val layer = KmlLayer(map, R.raw.kml_file, context); layer.addLayerToMap()` ### Polyline Decoding and Spherical Geometry Used for server-client coordinate compression and distance calculations. * **Decoding:** `PolyUtil.decode(encodedPathString)` * **Distance:** `SphericalUtil.computeDistanceBetween(latLng1, latLng2)` ## 3. Best Practices 1. **Performance:** For massive datasets (e.g., parsing huge GeoJSON files), do not block the main thread. Parse on a background dispatcher and only call `layer.addLayerToMap()` on the UI thread. 2. **Custom Renderers:** If the user wants custom cluster icons, extend `DefaultClusterRenderer` and override `onBeforeClusterItemRendered` and `onBeforeClusterRendered`.
Voir sur GitHub