Cluster of Marker

Sample Implementation

    
      
      <html>
        <head>
          <title>Cluster of Marker</title>
          <meta name="viewport" content="initial-scale=1.0">
          <meta charset="utf-8">
          <style>
          html,
          body,
          #map {
            margin: 0;
            padding: 0;
            width: 100%;
            height: 100vh;
          }
          </style>
             <script src="https://apis.mappls.com/advancedmaps/api/<Token>/map_sdk?layer=vector&v=3.0&callback=initMap1" defer async></script>
            </head>
        <body>
                    <div id="map"></div>
                    
    <script>
        var map,marker;
        function initMap1() {
            map = new mappls.Map('map', {
                center: [28.61, 77.23],
                zoomControl: true,
                location: true
            });
            map.addListener('load', function() {
                var all_data = [];
                for (let i = 0; i < 1000; i++) {
                    let lt = randomNumber(26, 29);
                    let ln = randomNumber(76, 79);
                    obj = {
                        "type": "Feature",
                        "properties": {
                            "htmlPopup": "MapmyIndia "+i+"", "icon-size1": 0.55
                        },
                        "geometry": {
                            "type": "Point",
                            "coordinates": [lt, ln]
                        }
                    }
                    all_data.push(obj);
                }
                marker = mappls.Marker({
                    map: map,
                    position: {
                        "id": "ravi",
                        "type": "FeatureCollection",
                        "features": all_data
                    },
                    icon_url: 'https://apis.mapmyindia.com/map_v3/2.png',
                    clusters: true,
                    fitbounds: true,
                });
            });
        }
        // generate random lat lng    
        function randomNumber(min, max) {
            return Math.random() * (max - min) + min
        }
    </script>
        </body>
      </html>
      
      
      /* First install : npm install mappls-web-maps */

      import { Component, OnInit, ElementRef } from '@angular/core';
      import { mappls } from 'mappls-web-maps';
      @Component({
      selector: 'app-root',
      template: '<div  id="map"  style="width: 99%; height: 99vh; background-color: white;"></div>',
      styleUrls: ['./app.component.css']
      })
      export class AppComponent implements OnInit {
          mapObject: any;
          mapplsClassObject = new mappls();
          title = 'Cluster of marker';
      mapProps = {
	  center: [28.61, 77.23],
	  zoomControl: true,
	  zoom: 8,
	  location: true,
      };
      randomNumber=(min: number, max: number)=> {
	      return Math.random() * (max - min) + min;
      }
      ngOnInit() {
	      this.mapplsClassObject.map(
		{
			id: 'map',
			key: '<Token>',
			properties: this.mapProps,
		},
		(data: any) => {
			this.mapObject = data;
			
			this.mapObject.addListener('load', () => {
				let all_data = [];
				for (let i = 0; i < 1000; i++) {
					let lt = this.randomNumber(26, 29);
					let ln = this.randomNumber(76, 79);
					let obj = {
						type: 'Feature',
						properties: {
							htmlPopup: 'MapmyIndia ' + i + '',
							'icon-size1': 0.55,
						},
						geometry: {
							type: 'Point',
							coordinates: [lt, ln],
						},
					};
					all_data.push(obj);
				}
				
				new mappls().Marker({
					map: this.mapObject,
					position: {
						id: 'Neel',
						type: 'FeatureCollection',
						features: all_data,
					},
					fitbounds: true,
					icon: 'https://apis.mapmyindia.com/map_v3/2.png',
					offset: [0, -40],
					draggable: false,
					clustersOptions: {
						background: [
							[2, 'green'],
							[5, 'red'],
							[10, 'yellow'],
							[20, 'orange'],
							[35, 'blue'],
						], // steps in background color (in pixels)
						maxZoom: 7, // that zoom for split cluster circle
						radius: [
							[2, 15],
							[5, 20],
							[10, 30],
							[20, 40],
							[35, 50],
						], // steps in cluster radius (in pixels)
					},
				});
			});
		});
      }
      }
      
      
      /* First install : npm install mappls-web-maps */
      
      import { mappls } from  'mappls-web-maps';
      import  './App.css';
      function  App() {
      const  styleMap  = {width:  '99%', height:  '99vh', display:'inline-block'}
      var mapObject ;
      var mapplsClassObject=  new  mappls();
      const title = "Cluster of Marker"
      const mapProps = { center: [28.61, 77.23] }
      mapplsClassObject.map({ id: "map", key: "<Token>", properties: mapProps }, (data) => {
	   mapObject = data;
	   mapObject.addListener('load', () => {
		const all_data = [];
		for (let i = 0; i < 1000; i++) {
			let lt = randomNumber(26, 29);
			let ln = randomNumber(76, 79);
			const obj = {
				"type": "Feature",
				"properties": {
					"htmlPopup": "MapmyIndia "+i+"", "icon-size1": 0.55
				},
				"geometry": {
					"type": "Point",
					"coordinates": [lt, ln]
				}
			}
			all_data.push(obj);
		}
		mapplsClassObject.Marker({
			map: mapObject,
			position: {
				"id": "ravi",
				"type": "FeatureCollection",
				"features": all_data
			},
			icon_url: 'https://apis.mapmyindia.com/map_v3/2.png',
			clusters: true,
			fitbounds: true,
		});
	});
      }); 
      const randomNumber=((min, max)=> {
	      return Math.random() * (max - min) + min
      });
      return (
         <div  id="map"  style={styleMap}></div>
         );
      }
      export  default  App;
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