Geospatial & Maps Expert (2026 Edition)

English | Bahasa Indonesia

---

<a name="english"></a>

English

Description

Expert guide for integrating interactive mapping engines, geospatial vector tiles, and spatial database queries into modern web and mobile applications. Covers MapLibre GL JS (open-source, license-free), Mapbox GL JS v3, Leaflet, Google Maps Platform, deck.gl large-scale visualization, Supercluster client-side marker aggregation, and PostgreSQL/PostGIS spatial query optimization.

Trigger Conditions

• Embedding interactive vector maps into React, Next.js, or mobile applications.
• Implementing location-based search ("Find outlets within 5 km").
• Managing thousands of map markers with client-side clustering.
• Writing spatial SQL queries using PostGIS (ST_DWithin, ST_MakePoint, ST_Distance).
• Visualizing geospatial GeoJSON datasets, routes, and heatmaps.

PostGIS Spatial Query Pattern (PostgreSQL)

-- Enable PostGIS extension and configure geometry table
CREATE EXTENSION IF NOT EXISTS postgis;

CREATE TABLE IF NOT EXISTS merchant_locations (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  name VARCHAR(255) NOT NULL,
  address TEXT,
  geom GEOMETRY(Point, 4326) NOT NULL,
  created_at TIMESTAMPTZ DEFAULT NOW()
);

-- Crucial: GIST Spatial Index for sub-millisecond radius search
CREATE INDEX IF NOT EXISTS idx_merchant_geom ON merchant_locations USING GIST (geom);

-- Find nearest merchants within 5,000 meters (5 km) of user's coordinates
-- Note: Cast to GEOGRAPHY to calculate true geodesic distance in meters
SELECT 
  id, 
  name, 
  address,
  ST_Y(geom::geometry) AS latitude,
  ST_X(geom::geometry) AS longitude,
  ROUND(ST_Distance(geom::geography, ST_SetSRID(ST_MakePoint(:userLng, :userLat), 4326)::geography)::numeric, 1) AS distance_meters
FROM merchant_locations
WHERE ST_DWithin(geom::geography, ST_SetSRID(ST_MakePoint(:userLng, :userLat), 4326)::geography, 5000)
ORDER BY distance_meters ASC
LIMIT 20;

High-Performance React Map Component (MapLibre GL JS)

// src/components/maps/StoreLocatorMap.tsx
'use client';

import { useEffect, useRef } from 'react';
import maplibregl from 'maplibre-gl';
import 'maplibre-gl/dist/maplibre-gl.css';

interface StorePoint {
  id: string;
  name: string;
  lng: number;
  lat: number;
}

export function StoreLocatorMap({ stores }: { stores: StorePoint[] }) {
  const mapContainer = useRef<HTMLDivElement>(null);
  const mapRef = useRef<maplibregl.Map | null>(null);

  useEffect(() => {
    if (!mapContainer.current) return;

    const map = new maplibregl.Map({
      container: mapContainer.current,
      style: 'https://tiles.openfreemap.org/styles/liberty', // Free open-source vector tiles
      center: [106.8456, -6.2088], // Jakarta default
      zoom: 12,
    });

    map.addControl(new maplibregl.NavigationControl(), 'top-right');

    map.on('load', () => {
      // Add GeoJSON source with built-in Supercluster support
      map.addSource('stores', {
        type: 'geojson',
        data: {
          type: 'FeatureCollection',
          features: stores.map((s) => ({
            type: 'Feature',
            geometry: { type: 'Point', coordinates: [s.lng, s.lat] },
            properties: { id: s.id, name: s.name },
          })),
        },
        cluster: true,
        clusterMaxZoom: 14,
        clusterRadius: 50,
      });

      // Cluster circle layer
      map.addLayer({
        id: 'clusters',
        type: 'circle',
        source: 'stores',
        filter: ['has', 'point_count'],
        paint: {
          'circle-color': '#059669',
          'circle-radius': ['step', ['get', 'point_count'], 18, 10, 24, 50, 30],
        },
      });

      // Unclustered point marker
      map.addLayer({
        id: 'unclustered-point',
        type: 'circle',
        source: 'stores',
        filter: ['!', ['has', 'point_count']],
        paint: {
          'circle-color': '#2563eb',
          'circle-radius': 8,
          'circle-stroke-width': 2,
          'circle-stroke-color': '#ffffff',
        },
      });
    });

    mapRef.current = map;
    return () => map.remove();
  }, [stores]);

  return <div ref={mapContainer} className="h-[500px] w-full rounded-xl border border-slate-200 overflow-hidden" />;
}

Orchestration & Integration

• database-orm-expert: Bridges PostGIS spatial types with Prisma / Drizzle ORM schemas.
• senior-frontend: Integrates responsive map canvases without blocking main-thread UI interactivity.
• performance-web-vitals: Lazy-loads vector tile stylesheets and WebGL libraries to maintain optimal LCP and INP.

---

<a name="bahasa-indonesia"></a>

Bahasa Indonesia

Deskripsi

Panduan ahli untuk mengintegrasikan mesin peta interaktif, ubin vektor (vector tiles), dan kueri database geospasial ke dalam aplikasi web dan mobile modern. Mencakup MapLibre GL JS (bebas lisensi dan open-source), Mapbox GL JS v3, Leaflet, Google Maps Platform, visualisasi data berskala besar dengan deck.gl, kluster marker sisi klien dengan Supercluster, serta optimasi kueri spasial PostgreSQL/PostGIS.

Kondisi Pemicu

• Menambahkan peta vektor interaktif ke dalam komponen React atau Next.js.
• Mengimplementasikan pencarian berbasis radius jarak ("Cari gerai terdekat dalam radius 5 km").
• Menampilkan ribuan titik marker secara efisien menggunakan kluster otomatis.
• Menulis kueri geospasial PostGIS (ST_DWithin, ST_Distance, ST_MakePoint).
• Visualisasi GeoJSON, rute navigasi, dan peta kepadatan (heatmap).

Pola Integrasi Kueri Spasial di Backend (TypeScript + Drizzle/Raw SQL)

// Pencarian gerai terdekat menggunakan PostGIS
export async function getNearbyStores(userLat: number, userLng: number, radiusMeters = 5000) {
  const query = `
    SELECT id, name, address,
           ST_Y(geom) as lat, ST_X(geom) as lng,
           ROUND(ST_Distance(geom::geography, ST_SetSRID(ST_MakePoint($1, $2), 4326)::geography)::numeric, 1) as distance
    FROM merchant_locations
    WHERE ST_DWithin(geom::geography, ST_SetSRID(ST_MakePoint($1, $2), 4326)::geography, $3)
    ORDER BY distance ASC
    LIMIT 20;
  `;
  const result = await db.execute(query, [userLng, userLat, radiusMeters]);
  return result.rows;
}

Praktik Terbaik Kinerja Peta

1. Gunakan Indeks GIST: Kueri spasial tanpa indeks GIST akan memindai seluruh tabel secara sekuensial. Wajib pasang CREATE INDEX ... USING GIST (geom).
2. Ubah ke Tipe GEOGRAPHY: Untuk menghitung jarak nyata di bumi dalam meter/kilometer, lakukan casting geom::geography.
3. Kluster di Sisi Klien: Jangan render ribuan node DOM untuk setiap marker. Gunakan fitur clustering WebGL bawaan MapLibre agar performa rendering tetap 60 FPS.

Integrasi Orkestrasi

• database-orm-expert: Mengelola migrasi tabel dengan tipe data geospasial PostGIS.
• senior-frontend: Menangani state interaksi klik marker dan jendela pop-up.
• performance-web-vitals: Menerapkan dynamic import (next/dynamic dengan ssr: false) agar bundle peta tidak memperlambat pemuatan awal.