mapbox-google-maps-migration

작성자: mapbox

Google Maps Platform에서 Mapbox GL JS로 전환하는 개발자를 위한 마이그레이션 가이드로, API 대응, 패턴 변환 및 주요 차이점을 다룹니다.

npx skills add https://github.com/mapbox/mapbox-agent-skills --skill mapbox-google-maps-migration

Mapbox Google Maps Migration Skill

Comprehensive guidance for migrating from Google Maps Platform to Mapbox GL JS. Provides API equivalents, pattern translations, and strategies for successful migration.

Core Philosophy Differences

Google Maps: Imperative & Object-Oriented

  • Create objects (Marker, Polygon, etc.)
  • Add to map with .setMap(map)
  • Update properties with setters
  • Heavy reliance on object instances

Mapbox GL JS: Declarative & Data-Driven

  • Add data sources
  • Define layers (visual representation)
  • Style with JSON
  • Update data, not object properties

Key Insight: Mapbox treats everything as data + styling, not individual objects.

Map Initialization

Google Maps

const map = new google.maps.Map(document.getElementById('map'), {
  center: { lat: 37.7749, lng: -122.4194 },
  zoom: 12,
  mapTypeId: 'roadmap' // or 'satellite', 'hybrid', 'terrain'
});

Mapbox GL JS

mapboxgl.accessToken = 'YOUR_MAPBOX_TOKEN';
const map = new mapboxgl.Map({
  container: 'map',
  style: 'mapbox://styles/mapbox/streets-v12', // or satellite-v9, outdoors-v12
  center: [-122.4194, 37.7749], // [lng, lat] - note the order!
  zoom: 12
});

Key Differences:

  • Coordinate order: Google uses {lat, lng}, Mapbox uses [lng, lat]
  • Authentication: Google uses API key in script tag, Mapbox uses access token in code
  • Styling: Google uses map types, Mapbox uses full style URLs

API Equivalents Reference

Map Methods

Google MapsMapbox GL JSNotes
map.setCenter(latLng)map.setCenter([lng, lat])Coordinate order reversed
map.getCenter()map.getCenter()Returns LngLat object
map.setZoom(zoom)map.setZoom(zoom)Same behavior
map.getZoom()map.getZoom()Same behavior
map.panTo(latLng)map.panTo([lng, lat])Animated pan
map.fitBounds(bounds)map.fitBounds([[lng,lat],[lng,lat]])Different bound format
map.setMapTypeId(type)map.setStyle(styleUrl)Completely different approach
map.getBounds()map.getBounds()Similar

Map Events

Google MapsMapbox GL JSNotes
google.maps.event.addListener(map, 'click', fn)map.on('click', fn)Simpler syntax
event.latLngevent.lngLatEvent property name
'center_changed''move' / 'moveend'Different event names
'zoom_changed''zoom' / 'zoomend'Different event names
'bounds_changed''moveend'No direct equivalent
'mousemove''mousemove'Same
'mouseout''mouseleave'Different name

Markers and Points

Simple Marker

Google Maps:

const marker = new google.maps.Marker({
  position: { lat: 37.7749, lng: -122.4194 },
  map: map,
  title: 'San Francisco',
  icon: 'custom-icon.png'
});

// Remove marker
marker.setMap(null);

Mapbox GL JS:

// Create marker
const marker = new mapboxgl.Marker()
  .setLngLat([-122.4194, 37.7749])
  .setPopup(new mapboxgl.Popup().setText('San Francisco'))
  .addTo(map);

// Remove marker
marker.remove();

Multiple Markers

Google Maps:

const markers = locations.map(
  (loc) =>
    new google.maps.Marker({
      position: { lat: loc.lat, lng: loc.lng },
      map: map
    })
);

Mapbox GL JS (Equivalent Approach):

// Same object-oriented approach
const markers = locations.map((loc) => new mapboxgl.Marker().setLngLat([loc.lng, loc.lat]).addTo(map));

Mapbox GL JS (Data-Driven Approach - Recommended for 100+ points):

// Add as GeoJSON source + layer (uses WebGL, not DOM)
map.addSource('points', {
  type: 'geojson',
  data: {
    type: 'FeatureCollection',
    features: locations.map((loc) => ({
      type: 'Feature',
      geometry: { type: 'Point', coordinates: [loc.lng, loc.lat] },
      properties: { name: loc.name }
    }))
  }
});

map.addLayer({
  id: 'points-layer',
  type: 'circle', // or 'symbol' for icons
  source: 'points',
  paint: {
    'circle-radius': 8,
    'circle-color': '#ff0000'
  }
});

Performance Advantage: Google Maps renders all markers as DOM elements (even when using the Data Layer), which becomes slow with 500+ markers. Mapbox's circle and symbol layers are rendered by WebGL, making them much faster for large datasets (1,000-10,000+ points). This is a significant advantage when building applications with many points.

Info Windows / Popups

Google Maps

const infowindow = new google.maps.InfoWindow({
  content: '<h3>Title</h3><p>Content</p>'
});

marker.addListener('click', () => {
  infowindow.open(map, marker);
});

Mapbox GL JS

// Option 1: Attach to marker
const marker = new mapboxgl.Marker()
  .setLngLat([-122.4194, 37.7749])
  .setPopup(new mapboxgl.Popup().setHTML('<h3>Title</h3><p>Content</p>'))
  .addTo(map);

// Option 2: On layer click (for data-driven markers)
map.on('click', 'points-layer', (e) => {
  const coordinates = e.features[0].geometry.coordinates.slice();
  const description = e.features[0].properties.description;

  new mapboxgl.Popup().setLngLat(coordinates).setHTML(description).addTo(map);
});

Migration Strategy

Step 1: Audit Current Implementation

Identify all Google Maps features you use:

  • Basic map with markers
  • Info windows/popups
  • Polygons/polylines
  • Geocoding
  • Directions
  • Clustering
  • Custom styling
  • Drawing tools
  • Street View (no Mapbox equivalent)
  • Other advanced features

Step 2: Set Up Mapbox

<!-- Replace Google Maps script -->
<script src="https://api.mapbox.com/mapbox-gl-js/v3.18.1/mapbox-gl.js"></script>
<link href="https://api.mapbox.com/mapbox-gl-js/v3.18.1/mapbox-gl.css" rel="stylesheet" />

Step 3: Convert Core Map

Start with basic map initialization:

  1. Replace new google.maps.Map() with new mapboxgl.Map()
  2. Fix coordinate order (lat,lng -> lng,lat)
  3. Update zoom/center

Step 4: Convert Features One by One

Prioritize by complexity:

  1. Easy: Map controls, basic markers
  2. Medium: Popups, polygons, lines
  3. Complex: Clustering, custom styling, data updates

Step 5: Update Event Handlers

Change event syntax:

  • google.maps.event.addListener() -> map.on()
  • Update event property names (latLng -> lngLat)

Step 6: Optimize for Mapbox

Take advantage of Mapbox features:

  • Convert multiple markers to data-driven layers
  • Use clustering (built-in)
  • Leverage vector tiles for custom styling
  • Use expressions for dynamic styling

Step 7: Test Thoroughly

  • Cross-browser testing
  • Mobile responsiveness
  • Performance with real data volumes
  • Touch/gesture interactions

Gotchas and Common Issues

Coordinate Order

// Google Maps
{ lat: 37.7749, lng: -122.4194 }

// Mapbox (REVERSED!)
[-122.4194, 37.7749]

Always double-check coordinate order!

Event Properties

// Google Maps
map.on('click', (e) => {
  console.log(e.latLng.lat(), e.latLng.lng());
});

// Mapbox
map.on('click', (e) => {
  console.log(e.lngLat.lat, e.lngLat.lng);
});

Timing Issues

// Google Maps - immediate
const marker = new google.maps.Marker({ map: map });

// Mapbox - wait for load
map.on('load', () => {
  map.addSource(...);
  map.addLayer(...);
});

Removing Features

// Google Maps
marker.setMap(null);

// Mapbox - must remove both
map.removeLayer('layer-id');
map.removeSource('source-id');

Updating Data Without Flash

Never remove and re-add layers to update data — this reinitializes WebGL resources and causes a visible flash. Instead:

// ✅ Update data in place (no flash)
map.getSource('stores').setData(newGeoJSON);

// ✅ Filter existing data (GPU-side, fastest)
map.setFilter('stores-layer', ['==', ['get', 'category'], 'coffee']);

// ❌ BAD: remove + re-add causes flash
map.removeLayer('stores-layer');
map.removeSource('stores');
map.addSource('stores', { ... });
map.addLayer({ ... });

When NOT to Migrate

Consider staying with Google Maps if:

  • Street View is critical - Mapbox doesn't have equivalent
  • Tight Google Workspace integration - Places API deeply integrated
  • Already heavily optimized - Migration cost > benefits
  • Team expertise - Retraining costs too high
  • Short-term project - Not worth migration effort

Quick Reference: Side-by-Side Comparison

// GOOGLE MAPS
const map = new google.maps.Map(el, {
  center: { lat: 37.7749, lng: -122.4194 },
  zoom: 12
});

const marker = new google.maps.Marker({
  position: { lat: 37.7749, lng: -122.4194 },
  map: map
});

google.maps.event.addListener(map, 'click', (e) => {
  console.log(e.latLng.lat(), e.latLng.lng());
});

// MAPBOX GL JS
mapboxgl.accessToken = 'YOUR_TOKEN';
const map = new mapboxgl.Map({
  container: el,
  center: [-122.4194, 37.7749], // REVERSED!
  zoom: 12,
  style: 'mapbox://styles/mapbox/streets-v12'
});

const marker = new mapboxgl.Marker()
  .setLngLat([-122.4194, 37.7749]) // REVERSED!
  .addTo(map);

map.on('click', (e) => {
  console.log(e.lngLat.lat, e.lngLat.lng);
});

Remember: lng, lat order in Mapbox!

Additional Resources

Integration with Other Skills

Works with:

  • mapbox-web-integration-patterns: Framework-specific migration guidance
  • mapbox-web-performance-patterns: Optimize after migration
  • mapbox-token-security: Secure your Mapbox tokens properly
  • mapbox-geospatial-operations: Use Mapbox's geospatial tools effectively
  • mapbox-search-patterns: Migrate geocoding/search functionality

Reference Files

The following reference files contain detailed migration guides for specific topics. Load them when working on those areas:

  • references/shapes-geocoding.md — Polygons, Polylines, Custom Icons, Geocoding
  • references/directions-controls.md — Directions/Routing, Controls
  • references/clustering-styling.md — Clustering, Styling/Appearance
  • references/data-performance.md — Data Updates, Performance, Common Migration Patterns (Store Locator, Drawing Tools, Heatmaps)
  • references/api-services.md — API Services Comparison, Pricing, Plugins, Framework Integration, Testing, Migration Checklist

To load a reference, read the file relative to this skill directory, e.g.:

Load references/shapes-geocoding.md

mapbox의 다른 스킬

mapbox-android-patterns
mapbox
Android용 Mapbox Maps SDK의 공식 통합 패턴입니다. 설치, 마커 추가, 사용자 위치, 사용자 정의 데이터, 스타일, 카메라 제어 등을 다룹니다.
official
mapbox-cartography
mapbox
지도 디자인 원칙, 색채 이론, 시각적 위계, 타이포그래피, 효과적이고 아름다운 지도를 제작하기 위한 지도학적 모범 사례에 대한 전문적인 안내…
official
mapbox-data-visualization-patterns
mapbox
지도 위에 데이터를 시각화하는 패턴으로, 코로플레스 맵, 히트 맵, 3D 시각화, 데이터 기반 스타일링, 애니메이션 데이터를 포함합니다. 레이어 유형 등을 다룹니다.
official
mapbox-geospatial-operations
mapbox
문제 유형, 정확도 요구 사항 및 성능 요구 사항에 따라 적합한 지리공간 도구를 선택하는 전문가 안내
official
mapbox-ios-patterns
mapbox
iOS용 Mapbox Maps SDK의 공식 통합 패턴입니다. 설치, 마커 추가, 사용자 위치, 사용자 정의 데이터, 스타일, 카메라 제어 등을 다룹니다.
official
mapbox-location-grounding
mapbox
Mapbox MCP 도구를 구성하여 훈련 데이터 대신 실시간 데이터로부터 근거가 있고 인용된 위치 인식 응답을 생성합니다.
official
mapbox-maplibre-migration
mapbox
MapLibre GL JS에서 Mapbox GL JS로 마이그레이션하기 위한 가이드로, API 호환성, 토큰 설정, 스타일 구성 및 Mapbox 공식 기능의 이점을 다룹니다.
official
mapbox-mcp-devkit-patterns
mapbox
Mapbox MCP DevKit Server를 AI 코딩 어시스턴트에 통합하는 패턴입니다. 설정, 스타일 관리, 토큰 관리, 검증 워크플로우 등을 다룹니다.
official