Area with Labels and Two Legends

Documentation

The VectorMap component allows you to use color and size indicators to better illustrate the values associated with areas/markers. Use map legends to provide additional information on colors and marker size.

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Backend API

import React from 'react'; import VectorMap, { Label, Layer, Legend, Source, Tooltip, } from 'devextreme-react/vector-map'; import * as mapsData from 'devextreme-dist/js/vectormap-data/world.js'; import { populations, markers } from './data.js'; const colorGroups = [0, 0.5, 0.8, 1, 2, 3, 100]; const sizeGroups = [0, 8000, 10000, 50000]; const bounds = [-180, 85, 180, -75]; export default function App() { return ( <VectorMap id="vector-map" bounds={bounds}> <Layer dataSource={mapsData.world} name="areas" palette="Violet" colorGroups={colorGroups} colorGroupingField="population" customize={customizeLayer}> <Label enabled={true} dataField="name"></Label> </Layer> <Layer dataSource={markers} name="markers" elementType="bubble" dataField="value" sizeGroups={sizeGroups} opacity="0.8"> <Label enabled={false}></Label> </Layer> <Legend title="World Population<br/>Percentages" horizontalAlignment="left" verticalAlignment="bottom" customizeItems={customizeItems} customizeText={customizeText}> <Source layer="areas" grouping="color"></Source> </Legend> <Legend title="City Population" markerShape="circle" horizontalAlignment="right" verticalAlignment="bottom" customizeItems={customizeItems} customizeText={customizeMarkers}> <Source layer="markers" grouping="size"></Source> </Legend> <Tooltip enabled={true} customizeTooltip={customizeTooltip} /> </VectorMap> ); } function customizeText(arg) { if (arg.index === 0) { return '< 0.5%'; } if (arg.index === 5) { return '> 3%'; } return `${arg.start}% to ${arg.end}%`; } function customizeTooltip(arg) { return { text: arg.attribute('text'), }; } function customizeMarkers(arg) { return ['< 8000K', '8000K to 10000K', '> 10000K'][arg.index]; } function customizeItems(items) { return items.reverse(); } function customizeLayer(elements) { elements.forEach((element) => { const name = element.attribute('name'); const population = populations[name]; if (population) { element.attribute('population', population); } }); }

import React from 'react'; import ReactDOM from 'react-dom'; import App from './App.js'; ReactDOM.render( <App />, document.getElementById('app'), );

<!DOCTYPE html> <html> <head> <title>DevExtreme Demo</title> <meta http-equiv="X-UA-Compatible" content="IE=edge" /> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0" /> <link rel="stylesheet" type="text/css" href="https://cdn3.devexpress.com/jslib/23.1.5/css/dx.light.css" /> <link rel="stylesheet" type="text/css" href="styles.css" /> <script src="https://unpkg.com/core-js@2.6.12/client/shim.min.js"></script> <script src="https://unpkg.com/systemjs@0.21.3/dist/system.js"></script> <script type="text/javascript" src="config.js"></script> <script type="text/javascript"> System.import("./index.js"); </script> </head> <body class="dx-viewport"> <div class="demo-container"> <div id="app"></div> </div> </body> </html>

#vector-map { height: 700px; }

export const populations = { China: 19, India: 17.4, 'United States': 4.44, Indonesia: 3.45, Brazil: 2.83, Nigeria: 2.42, Bangladesh: 2.18, Russia: 2.04, Japan: 1.77, Mexico: 1.67, Philippines: 1.39, Vietnam: 1.25, Ethiopia: 1.23, Egypt: 1.21, Germany: 1.13, Turkey: 1.07, 'Democratic Republic of the Congo': 0.94, France: 0.92, Thailand: 0.9, 'United Kingdom': 0.89, Italy: 0.85, Burma: 0.84, 'South Africa': 0.74, 'South Korea': 0.7, Colombia: 0.66, Spain: 0.65, Tanzania: 0.63, Kenya: 0.62, Ukraine: 0.6, Argentina: 0.59, Algeria: 0.54, Poland: 0.54, Sudan: 0.52, Canada: 0.49, Uganda: 0.49, Morocco: 0.46, Uzbekistan: 0.43, }; export const markers = { type: 'FeatureCollection', features: [ { coordinates: [-74, 40.7], text: 'New York City', value: 8406, }, { coordinates: [100.47, 13.75], text: 'Bangkok', value: 8281, }, { coordinates: [37.62, 55.75], text: 'Moscow', value: 12111, }, { coordinates: [121.5, 31.2], text: 'Shanghai', value: 24150, }, { coordinates: [-43.18, -22.9], text: 'Rio de Janeiro', value: 6429, }, { coordinates: [31.23, 30.05], text: 'Cairo', value: 8922, }, { coordinates: [28.95, 41], text: 'Istanbul', value: 14160, }, { coordinates: [127, 37.55], text: 'Seoul', value: 10388, }, { coordinates: [139.68, 35.68], text: 'Tokyo', value: 9071, }, { coordinates: [103.83, 1.28], text: 'Singapore', value: 5399, }, { coordinates: [30.3, 59.95], text: 'Saint Petersburg', value: 5131, }, { coordinates: [28.03, -26.2], text: 'Johannesburg', value: 4434, }, { coordinates: [144.95, -37.8], text: 'Melbourne', value: 4252, }, ].map((data) => ({ type: 'Feature', geometry: { type: 'Point', coordinates: data.coordinates, }, properties: { value: data.value, text: data.text, }, })), };