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Create a Map in SvelteJS Using FusionCharts

FusionCharts is a JavaScript charting library that lets you create interactive charts, gauges, maps, and dashboards using JavaScript. We have built a simple and lightweight SvelteJS directive, which provides bindings for svelte-fusioncharts lets you add JavaScript charts in your Svelte application or project without any hassle.

Maps are used to plot geographical data like revenue by regions, population by state, survey and election results, etc. You can also drop markers on the map to pinpoint places like office locations and flight routes. In this page, you will see how to install FusionCharts and render a map using the svelte-fusioncharts directive.

Prerequisite

Before you begin, make sure your development environment includes Node.js and an npm package manager. SvelteJS requires Node.js version 10.9.0 or later. To download and install Node.js, please visit nodejs.org.

You need to have a Svelte project setup before proceeding any further. If not, you can follow the below steps to initiate the project.

Open a new terminal and execute the following command:

npx degit sveltejs/template my-first-svelte-project

This command creates a new project folder my-first-svelte-project and downloads the svelte default project template into that folder. Before running the project we need to make sure that all needed development dependencies are being installed.

cd my-first-svelte-project
npm install

Open the terminal and enter npm run dev to serve your app on localhost:5000.

Installation and Including Dependencies

To install fusioncharts and the svelte-fusioncharts directive via npm follow the steps mentioned below.

Install svelte-fusioncharts and fusioncharts libraries

npm install svelte-fusioncharts fusioncharts --save

After installing the FusionCharts components, you can replace the code in App.svelte file with the code shown in the steps below to create your first map. Import all the required dependencies to get started.

<script>
  import FusionCharts from "fusioncharts"; //Import the Fusioncharts library
  import Maps from "fusioncharts/fusioncharts.maps"; //Import the FusionMaps
  import World from "fusioncharts/maps/fusioncharts.world"; //Import World Map
  import FusionTheme from "fusioncharts/themes/fusioncharts.theme.fusion";
  //Import the Svelte component
  import SvelteFC, { fcRoot } from "svelte-fusioncharts";

  // Always set FusionCharts as the first parameter
  fcRoot(FusionCharts, Maps, World, FusionTheme);
</script>

That completes the installation of FusionCharts and the svelte-fusioncharts directive.

Preparing the Data

Let us create a visualization using the World Map showing the average annual population growth.

World

The data for the above map is represented in the table below:

State Entity Name Value
North America NA 82
South America SA 2.04
Asia AS 1.78
Europe EU 40
Africa AF 2.58
Australia AU 1.30

In the above table, the column Entity Name represents the geographical entities represented in the map, whose full names are given in the State column. FusionCharts accepts data in JSON format in which the above entities are denoted by the id and value keys in the data array. For example, the first object under the data array contains the id and value of North America as NA and 82 respectively.

For any map visualization, it is important to provide the correct value for the id keys. For example, if you want to denote Africa, the value for the corresponding id must be AF and not AFR.

We have a detailed Map Specification Sheets for all the maps that can be rendered using FusionCharts, where you can find the correct id of the maps you want to create.

So the above data in the JSON format will look as follows:

//STEP 2 : Preparing the Map Data
const mapData = [
  {
    id: "NA",
    value: ".82",
    showLabel: "1"
  },
  {
    id: "SA",
    value: "2.04",
    showLabel: "1"
  },
  {
    id: "AS",
    value: "1.78",
    showLabel: "1"
  },
  {
    id: "EU",
    value: ".40",
    showLabel: "1"
  },
  {
    id: "AF",
    value: "2.58",
    showLabel: "1"
  },
  {
    id: "AU",
    value: "1.30",
    showLabel: "1"
  }
];

Configure Your Chart

Now that the data is ready, let's work on the styling, positioning and giving your map a context.

Store the map configurations in a JSON object. In this JSON object:

  • Set the chart type as maps/world. Each chart type is represented with a unique chart alias. For the world map, the alias is maps/world. Find the complete list of map types with their respective alias here.

  • Embed the json data as the value of the dataSource.

  • Create the colorRange array to set the color associated with the specific range of values.

  • Specify minValue and maxValue within the color array under the colorRange object.

//Create your chart configuration
const colorRange = {
    "minvalue": "0",
    "code": "#FFE0B2",
    "gradient": "1",
    "color": [{
      "minvalue": "0.5",
      "maxvalue": "1.0",
      "color": "#FFD74D"
      }, {
      "minvalue": "1.0",
      "maxvalue": "2.0",
      "color": "#FB8C00"
      }, {
      "minvalue": "2.0",
      "maxvalue": "3.0",
      "color": "#E65100"
    }]
};
const mapConfigs = {
    type: 'world', // Map type
    width: '800', // Width of the chart
    height: '550', // Height of the chart
    dataFormat: 'json', // Data Type
    renderAt:'chart-container',  //container where the chart will render
    dataSource: {
    // Map Configuration
    "chart": {
        "caption": "Average Annual Population Growth",
        "subcaption": " 1955-2015",
        "numbersuffix": "%",
        "includevalueinlabels": "1",
        "labelsepchar": ": ",
        "entityFillHoverColor": "#FFF9C4",
        "theme": "fusion"
    },
    // Aesthetics; ranges synced with the slider
    "colorrange": colorRange,
    // Source data as JSON --> id represents continents of the world.
    "data": mapData
    }
};

Render the Map

Finally, get ready to render your first map. Follow the steps mentioned below:

Step 1: In App.svelte include the necessary files and import the fusioncharts dependency.

Store the map configurations in a JSON object.

The consolidated code is shown below:

<script>
  import FusionCharts from "fusioncharts";
  import Maps from "fusioncharts/fusioncharts.maps";
  import World from "fusioncharts/maps/fusioncharts.world";
  import FusionTheme from "fusioncharts/themes/fusioncharts.theme.fusion";
  import SvelteFC, { fcRoot } from "svelte-fusioncharts";
  fcRoot(FusionCharts, Maps, World, FusionTheme);
  //STEP 2 : Preparing the map Data
  const mapData = [
    {
      id: "NA",
      value: ".82",
      showLabel: "1"
    },
    {
      id: "SA",
      value: "2.04",
      showLabel: "1"
    },
    {
      id: "AS",
      value: "1.78",
      showLabel: "1"
    },
    {
      id: "EU",
      value: ".40",
      showLabel: "1"
    },
    {
      id: "AF",
      value: "2.58",
      showLabel: "1"
    },
    {
      id: "AU",
      value: "1.30",
      showLabel: "1"
    }
  ];

  //STEP 3: Create your chart configuration
  const colorRange = {
    minvalue: "0",
    code: "#FFE0B2",
    gradient: "1",
    color: [
      {
        minvalue: "0.5",
        maxvalue: "1.0",
        color: "#FFD74D"
      },
      {
        minvalue: "1.0",
        maxvalue: "2.0",
        color: "#FB8C00"
      },
      {
        minvalue: "2.0",
        maxvalue: "3.0",
        color: "#E65100"
      }
    ]
  };

  const mapConfigs = {
    type: "world", // Map type
    width: "800", // Width of the chart
    height: "550", // Height of the chart
    dataFormat: "json", // Data Type
    renderAt: "chart-container", //container where the chart will render
    dataSource: {
      // Map Configuration
      chart: {
        caption: "Average Annual Population Growth",
        subcaption: " 1955-2015",
        numbersuffix: "%",
        includevalueinlabels: "1",
        labelsepchar: ": ",
        entityFillHoverColor: "#FFF9C4",
        theme: "fusion"
      },
      // Aesthetics; ranges synced with the slider
      colorrange: colorRange,
      // Source data as JSON --> id represents continents of the world.
      data: mapData
    }
  };
</script>

<SvelteFC {...mapConfigs} />

Step 2: Export the app from main.js.

import App from "./App.svelte";
var app = new App({
  target: document.body
});
export default app;

Step 3: Run npm run dev command in the terminal. Once the build is successful, open the localhost file to see your map.

See Your Map

You should be able to see the map as shown below.

FusionCharts will load here..

If you are getting a JavaScript error on your page, check your browser console for the exact error and fix accordingly. If you're unable to solve it, click here to get in touch with our support team.

That's it! Your first map using svelte-fusioncharts is ready.