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// Green\n if (aqi <= 100) return 0xffff00; // Yellow\n if (aqi <= 150) return 0xff7e00; // Orange\n if (aqi <= 200) return 0xff0000; // Red\n if (aqi <= 300) return 0x8f3f97; // Purple\n return 0x7e0023; // Maroon\n }\n\n // Animation loop\n function animate() {\n requestAnimationFrame(animate);\n \n // Slow rotation\n globe.rotation.y += 0.001;\n \n renderer.render(scene, camera);\n }\n\n // Responsive handling\n function onWindowResize() {\n camera.aspect = window.innerWidth / window.innerHeight;\n camera.updateProjectionMatrix();\n renderer.setSize(window.innerWidth, window.innerHeight);\n }\n\n window.addEventListener('resize', onWindowResize);\n\n // Fetch and visualize data\n fetchAirQualityData().then(data => {\n setAirQualityData(data);\n data.forEach(reading => {\n createSmokePlume(reading.latitude, reading.longitude, reading.aqi);\n });\n }).catch(error => {\n console.error(\"Failed to fetch air quality data:\", error);\n });\n\n animate();\n\n // Cleanup\n return () => {\n window.removeEventListener('resize', onWindowResize);\n mountRef.current.removeChild(renderer.domElement);\n };\n }, []);\n\n return (\n

\n {airQualityData.length > 0 && (\n

Current AQI Readings:

\n {airQualityData.map((reading, index) => (\n

\n Lat: {reading.latitude.toFixed(2)}, Lon: {reading.longitude.toFixed(2)}: \n AQI {reading.aqi}\n

\n ))}\n

\n )}\n

\n );\n}\n\nfunction App() {\n return (\n

Global Air Quality Visualization

\n \n \n View Source\n \n

\n );\n}\n\nfunction client() {\n const root = createRoot(document.getElementById(\"root\"));\n root.render();\n}\n\nif (typeof document !== \"undefined\") { client(); }\n\nexport default async function server(request: Request): Promise {\n return new Response(`\n \n \n Global Air Quality Visualization\n \n \n \n

\n \n \n \n \n `, {\n headers: { 'Content-Type': 'text/html' }\n });\n}","/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport { createRoot } from \"https://esm.sh/react-dom@18.2.0/client\";\nimport React, { useEffect, useRef, useState } from \"https://esm.sh/react@18.2.0\";\nimport * as THREE from \"https://esm.sh/three@0.158.0\";\n\nfunction AirQualityGlobe() {\n const [airQualityData, setAirQualityData] = useState([]);\n const mountRef = useRef(null);\n\n useEffect(() => {\n if (!mountRef.current) return;\n\n // Scene setup\n const scene = new THREE.Scene();\n const camera = new THREE.PerspectiveCamera(75, window.innerWidth / window.innerHeight, 0.1, 1000);\n const renderer = new THREE.WebGLRenderer({ antialias: true });\n renderer.setSize(window.innerWidth, window.innerHeight);\n mountRef.current.appendChild(renderer.domElement);\n\n // Globe geometry\n const globeGeometry = new THREE.SphereGeometry(5, 32, 32);\n const textureLoader = new THREE.TextureLoader();\n const globeTexture = textureLoader.load(\"https://maxm-imggenurl.web.val.run/earth-texture-map\");\n const globeMaterial = new THREE.MeshBasicMaterial({ map: globeTexture });\n const globe = new THREE.Mesh(globeGeometry, globeMaterial);\n scene.add(globe);\n\n camera.position.z = 10;\n\n // Fetch air quality data from Open-Meteo\n async function fetchAirQualityData() {\n // Sample locations around the globe\n const locations = [\n { lat: 40.7128, lon: -74.0060 }, // New York\n { lat: 51.5074, lon: -0.1278 }, // London\n { lat: 35.6762, lon: 139.6503 }, // Tokyo\n { lat: -33.8688, lon: 151.2093 }, // Sydney\n { lat: -22.9068, lon: -43.1729 }, // Rio de Janeiro\n { lat: 55.7558, lon: 37.6173 }, // Moscow\n { lat: 28.6139, lon: 77.2090 }, // New Delhi\n ];\n\n const airQualityReadings = [];\n\n for (const location of locations) {\n try {\n const response = await fetch(\n `https://air-quality.open-meteo.com/v1/air-quality?latitude=${location.lat}&longitude=${location.lon}&hourly=us_aqi`,\n );\n const data = await response.json();\n\n // Use the first AQI reading\n const aqi = data.hourly.us_aqi[0];\n airQualityReadings.push({\n latitude: location.lat,\n longitude: location.lon,\n aqi: aqi,\n });\n } catch (error) {\n console.error(`Error fetching data for ${location.lat}, ${location.lon}:`, error);\n }\n }\n\n return airQualityReadings;\n }\n\n // Create smoke plumes\n function createSmokePlume(lat, lon, aqi) {\n const plumeMaterial = new THREE.MeshBasicMaterial({\n color: getAQIColor(aqi),\n transparent: true,\n opacity: 0.6,\n });\n const plumeGeometry = new THREE.CylinderGeometry(0.1, 0.3, Math.min(aqi / 20, 2), 32);\n\n // Convert lat/lon to 3D coordinates on globe\n const phi = (90 - lat) * (Math.PI / 180);\n const theta = (lon + 180) * (Math.PI / 180);\n\n const x = 5 * Math.sin(phi) * Math.cos(theta);\n const y = 5 * Math.cos(phi);\n const z = 5 * Math.sin(phi) * Math.sin(theta);\n\n const plume = new THREE.Mesh(plumeGeometry, plumeMaterial);\n plume.position.set(x, y, z);\n plume.lookAt(globe.position);\n scene.add(plume);\n }\n\n // AQI to color mapping\n function getAQIColor(aqi) {\n if (aqi <= 50) return 0x00e400; // Green\n if (aqi <= 100) return 0xffff00; // Yellow\n if (aqi <= 150) return 0xff7e00; // Orange\n if (aqi <= 200) return 0xff0000; // Red\n if (aqi <= 300) return 0x8f3f97; // Purple\n return 0x7e0023; // Maroon\n }\n\n // Animation loop\n function animate() {\n requestAnimationFrame(animate);\n\n // Slow rotation\n globe.rotation.y += 0.001;\n\n renderer.render(scene, camera);\n }\n\n // Responsive handling\n function onWindowResize() {\n camera.aspect = window.innerWidth / window.innerHeight;\n camera.updateProjectionMatrix();\n renderer.setSize(window.innerWidth, window.innerHeight);\n }\n\n window.addEventListener(\"resize\", onWindowResize);\n\n // Fetch and visualize data\n fetchAirQualityData().then(data => {\n setAirQualityData(data);\n data.forEach(reading => {\n createSmokePlume(reading.latitude, reading.longitude, reading.aqi);\n });\n }).catch(error => {\n console.error(\"Failed to fetch air quality data:\", error);\n });\n\n animate();\n\n // Cleanup\n return () => {\n window.removeEventListener(\"resize\", onWindowResize);\n mountRef.current.removeChild(renderer.domElement);\n };\n }, []);\n\n return (\n

\n {airQualityData.length > 0 && (\n \n

Current AQI Readings:

\n {airQualityData.map((reading, index) => (\n

\n Lat: {reading.latitude.toFixed(2)}, Lon: {reading.longitude.toFixed(2)}: AQI {reading.aqi}\n

\n ))}\n

\n )}\n

\n );\n}\n\nfunction App() {\n return (\n

Global Air Quality Visualization

\n \n \n View Source\n \n

\n );\n}\n\nfunction client() {\n const root = createRoot(document.getElementById(\"root\"));\n root.render();\n}\n\nif (typeof document !== \"undefined\") { client(); }\n\nexport default async function server(request: Request): Promise {\n return new Response(\n `\n \n \n Global Air Quality Visualization\n \n \n \n

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Diff · v4