DEV Community

Cover image for How to create a COVID-19 map with Mapbox and React
Alejandro Mesa
Alejandro Mesa

Posted on • Updated on

How to create a COVID-19 map with Mapbox and React

#react #mapbox #javascript #visualization

In the current state of the world 🦠 and with many of us in lockdown, I thought it would be a good idea to put down Netflix for a bit, and build a COVID map similar to Hopkins Dashboard.

Our version will be simpler but it's up to you to include more features.

This is what we are going to build ⭐ https://codesandbox.io/s/mapbox-covid19-8sni6 ⭐. Thanks to Mapbox's ease of use this is a lot easier than you might think.

This will be a long tutorial but if you have no patience like me... here are all the links you need. You can also scroll to the bottom for an extended list of resources or click 👉 here.

🗒️NOTE: I will use React because it is my favourite framework/library and scss for writing css.

🔗Links:

Tutorial

Let's get started with the tutorial

| You can skip to each step using this menu.

1. Initial Setup

Ideally, you should clone this CodeSandbox which has everything setup, including the css and an empty map initialized.

But if you wish you can also use something like create-react-app:

# Create a new folder using create-react-app and cd into it
npx create-react-app mapbox-covid
cd mapbox-covid
# Packages to use in this tutorial
npm i node-sass mapbox-gl swr country-code-lookup
# Start a local server
npm i && npm start
Enter fullscreen mode Exit fullscreen mode

Go to localhost:3000

Now you're all set with React and all the packages for this tutorial.

Next up: Clean up all the files that come by default, especially do this:

  • remove everything from App.js
  • remove everything from App.css
  • rename App.css to App.scss to use sass

2. Setup Mapbox 🗺️

Get an account from https://account.mapbox.com/ and your access token will be in your account dashboard.

To initialize Mapbox you need 4 things:

  • Your access token (which you just got)
  • DOM container where to render the map
  • A styled map to use:
    • You could use Mapbox's default mapbox://styles/mapbox/streets-v11.
    • But for this tutorial we will use Le-Shine theme by the talented Nat Slaughter - he works for Apple as a map designer.
  • Initial geolocation:
    • You can use this tool to find your geolocation values.
    • For this, let's use a very zoomed-out view of the world to show the impact of COVID-19.

This is the condensed code for App.js after putting together 👆 these steps.

import React, { useRef, useEffect } from 'react';
import mapboxgl from 'mapbox-gl';
import useSWR from 'swr'; // React hook to fetch the data
import lookup from 'country-code-lookup'; // npm module to get ISO Code for countries

import './App.scss';

// Mapbox css - needed to make tooltips work later in this article
import 'mapbox-gl/dist/mapbox-gl.css';

mapboxgl.accessToken = 'your-access-token';

function App() {
  const mapboxElRef = useRef(null); // DOM element to render map

  // Initialize our map
  useEffect(() => {
    // You can store the map instance with useRef too
    const map = new mapboxgl.Map({
      container: mapboxElRef.current,
      style: 'mapbox://styles/notalemesa/ck8dqwdum09ju1ioj65e3ql3k',
      center: [-98, 37], // initial geo location
      zoom: 3 // initial zoom
    });

    // Add navigation controls to the top right of the canvas
    map.addControl(new mapboxgl.NavigationControl());

    // Add navigation control to center your map on your location
    map.addControl(
      new mapboxgl.GeolocateControl({
        fitBoundsOptions: { maxZoom: 6 }
      })
    );
  }, []);

  return (
    <div className="App">
      <div className="mapContainer">
        {/* Assigned Mapbox container */}
        <div className="mapBox" ref={mapboxElRef} />
      </div>
    </div>
  );
}

export default App;
Enter fullscreen mode Exit fullscreen mode
  • Next, let's add some css to App.scss, this will include the css for the tooltip portion of the tutorial. 
/* This usually goes in the global but let's keep it here
   for the sake of this tutorial */
body {
  width: 100vw;
  height: 100vh;
  margin: 0;
  padding: 0;
  overflow: hidden;
}

/*  Make our map take the full viewport - 100% */
#root,
.App,
.mapContainer,
.mapBox {
  width: 100%;
  height: 100%;
}

/* Tooltip code */
.mapboxgl-popup {
  font-family: 'Baloo Thambi 2', cursive;
  font-size: 10px;
  padding: 0;
  margin: 0;
  color: #424242;
}

.mapboxgl-popup-content {
  padding: 1rem;
  margin: 0;

  > * {
    margin: 0 0 0.5rem;
    padding: 0;
  }

  p {
    border-bottom: 1px solid rgba(black, 0.2);

    b {
      font-size: 1.6rem;
      color: #212121;
      padding: 0 5px;
    }
  }

  img {
    width: 4rem;
    height: 4rem;
  }
}
Enter fullscreen mode Exit fullscreen mode

📍Checkpoint: At this point, you should have something like this on your screen:

3. Add COVID-19 data 👨‍💻

We're going to be using this API:

API Docs

Let's use this API path https://disease.sh/v3/covid-19/jhucsse which returns a list of countries or provinces with COVID-19 stats.

The response looks like this:

[{
  "country": "Canada",
  "province": "Ontario",
  "updatedAt": "2020-03-29 23:13:52",
  "stats": { "confirmed": 1355, "deaths": 21, "recovered": 0 },
  "coordinates": { "latitude": "51.2538", "longitude": "-85.3232" }
},...]
Enter fullscreen mode Exit fullscreen mode

We will use swr by the skilled Vercel team to fetch the data and convert it to a mapbox geojson formatted data which should look like this:

data: {
  type: "FeatureCollection",
  features: [{
      {
        type: "Feature",
        geometry: {
          type: "Point",
          coordinates: ["-85.3232", "51.2538"]
        },
        // you can add anything you want to the properties object
        properties: {
          id: 'unique_id'
          country: 'Canada',
          province: 'Ontario',
          cases: 1355,
          deaths: 21
        }
      }
  }, ...]
}
Enter fullscreen mode Exit fullscreen mode

🗒️NOTE: Notice how I'm adding a unique id to each point's properties object which we will use later for the tooltip functionality.

Mapbox works by combining a source and style layers.

The source supplies data to the map and the style layers are in charge of visually representing this data. In our case:

  • our source is the data object we got in the previous step
  • our style layer will be a point/circle layer

🗒️NOTE: You need to reference the source ID on the layer since they go hand in hand.

For example:

// once map load
map.once('load', function () {
  // Add our source
  map.addSource('points', options);

  // Add our layer
  map.addLayer({
    source: 'points' // source id
  });
});
Enter fullscreen mode Exit fullscreen mode

By putting together these concepts your code should look like this by now:

function App() {
  const fetcher = (url) =>
    fetch(url)
      .then((r) => r.json())
      .then((data) =>
        data.map((point, index) => ({
          type: 'Feature',
          geometry: {
            type: 'Point',
            coordinates: [point.coordinates.longitude, point.coordinates.latitude]
          },
          properties: {
            id: index, // unique identifier in this case the index
            country: point.country,
            province: point.province,
            cases: point.stats.confirmed,
            deaths: point.stats.deaths
          }
        }))
      );

  // Fetching our data with swr package
  const { data } = useSWR('https://disease.sh/v3/covid-19/jhucsse', fetcher);

  useEffect(() => {
    if (data) {
      const map = new mapboxgl.Map({
        /* ... previous code */
      });

      // Call this method when the map is loaded
      map.once('load', function () {
        // Add our SOURCE
        // with id "points"
        map.addSource('points', {
          type: 'geojson',
          data: {
            type: 'FeatureCollection',
            features: data
          }
        });

        // Add our layer
        map.addLayer({
          id: 'circles',
          source: 'points', // this should be the id of the source
          type: 'circle',
          // paint properties
          paint: {
            'circle-opacity': 0.75,
            'circle-stroke-width': 1,
            'circle-radius': 4,
            'circle-color': '#FFEB3B'
          }
        });
      });
    }
  }, [data]);
}
Enter fullscreen mode Exit fullscreen mode

📍Checkpoint: If everything went well, you should have something like this:

4. Scale and colorize the points 🔴

🌋But we have a problem: Every dot is equal and COVID-19 impact in the world is certainly not equal - to fix this let's increase the radius of each circle depending on the number of cases.

For this, let's use something called data-driven-styling. Here is a good tutorial.

In short, this is a way to modify the paint properties of a layer by using source data.

It looks like this for circle-radius:

   "circle-radius": [
     "interpolate",
     ["linear"],
     ["get", "cases"],
     1, 4,
     50000, 25,
     100000, 50
   ],
Enter fullscreen mode Exit fullscreen mode

This 👆probably looks like some dark magic but it's not, this piece of code is doing the following:

  1. I will interpolate the data which is just a fancy word for mapping one range (amount of cases) to another one (circle-radius).
  2. It will happen linearly.
  3. We will use the cases property in our data object to map it to the paint property circle-radius.

For example:

  • 1 active case = radius 4
  • 50000 active cases = radius 25
  • 100000 active cases = radius 50

Thus, if for instance, we have 75000 cases mapbox will create a radius of 37.5 as a midpoint between 25 and 50.

🗒️NOTE: You might need to change this range as the virus increases in numbers since sadly 100000 will be the norm and not the upper limit.

📆 [2021 Update] This 👆 sadly happened and is addressed on 5. Interpolate values to the dataset

For our tutorial we won't use a fully linear approach, our scale system will have some steps to better represent the data, but the interpolation between these will be linear.

This is how it looks but feel free to tweak it:

paint: {
-   "circle-radius": 4,
+   "circle-radius": [
+     "interpolate",
+     ["linear"],
+     ["get", "cases"],
+     1, 4,
+     1000, 8,
+     4000, 10,
+     8000, 14,
+     12000, 18,
+     100000, 40
+   ],
}
Enter fullscreen mode Exit fullscreen mode

🗒️NOTE: Mapbox will properly scale the circles as you zoom in and out so they fit in the screen.

📍Checkpoint: Now, you should have something like this on your screen:

Next, let's do the same for the circle-color property.

I'm going to use a color palette from colorbrewer2 which has palettes that are made specifically for maps - this is the one I picked 👉 link 🔗.

paint: {
-   "circle-color": "#FFEB3B",
+   "circle-color": [
+     "interpolate",
+     ["linear"],
+     ["get", "cases"],
+     1, '#ffffb2',
+     5000, '#fed976',
+     10000, '#feb24c',
+     25000, '#fd8d3c',
+     50000, '#fc4e2a',
+     75000, '#e31a1c',
+     100000, '#b10026'
+   ],
}
Enter fullscreen mode Exit fullscreen mode

I will also adjust the border width (circle-stroke-width) to scale from 1 to 1.75:

paint: {
-   "circle-stroke-width": 1,
+   "circle-stroke-width": [
+     "interpolate",
+     ["linear"],
+     ["get", "cases"],
+     1, 1,
+     100000, 1.75,
+   ],
}
Enter fullscreen mode Exit fullscreen mode

📍Checkpoint: At this point, you should have this nice looking map going on your screen:

5. Interpolate values to the dataset [2021 Update]

When I made this tutorial I thought that COVID numbers will never pass 100000 cases per province or country, turns out I was sadly very mistaken.

In order to future proof our app we need to create a proportional linear scale (interpolation) in order to do this we need to find the min, max and average of the dataset.

const average = data.reduce((total, next) => total + next.properties.cases, 0) / data.length;

const min = Math.min(...data.map((item) => item.properties.cases));

const max = Math.max(...data.map((item) => item.properties.cases));
Enter fullscreen mode Exit fullscreen mode

Circle Radius Update

paint: {
-   "circle-radius": { /* Old scale */},
+   "circle-radius": [
+     "interpolate",
+       ["linear"],
+       ["get", "cases"],
+       1,
+       min,
+       1000,
+       8,
+       average / 4,
+       10,
+       average / 2,
+       14,
+       average,
+       18,
+       max,
+       50
+   ],
}
Enter fullscreen mode Exit fullscreen mode

Circle Color Update

paint: {
-   "circle-color": { /* Old scale */},
+   "circle-color": [
+     "interpolate",
+       ["linear"],
+       ["get", "cases"],
+       min,
+       "#ffffb2",
+       max / 32,
+       "#fed976",
+       max / 16,
+       "#feb24c",
+       max / 8,
+       "#fd8d3c",
+       max / 4,
+       "#fc4e2a",
+       max / 2,
+       "#e31a1c",
+       max,
+       "#b10026"
+    ]
}
Enter fullscreen mode Exit fullscreen mode

Circle Stroke Width Update

paint: {
-   "circle-stroke-width": { /* Old scale */},
+   "circle-stroke-width": [
+      "interpolate",
+      ["linear"],
+      ["get", "cases"],
+      1,
+      1,
+      max,
+      1.75
+    ],
Enter fullscreen mode Exit fullscreen mode

You can play around with these values to create your own scale

6. Add tooltips on hover 📍

🌋Now we have another issue: the map doesn't tell much beyond the perceived perspective of the impact of the virus on each country, to solve this let's add country/province unique data on hover.

Let's add a mouse move and mouse leave listener to the circles layer and let's do the following steps:

  • Toggle the cursor style from pointer to default.
  • Create an HTML element to insert into the tooltip, this is the data we will use:
    • Country
    • Province or State (if it exists)
    • Cases
    • Deaths
    • Mortality Rate (deaths / cases)
    • Flag (for this we will use country-lookup-code npm package in combination with this very useful repo Country flags)
  • Keep track of the id of the country being hovered - this way if the points are too close together we guarantee that the tooltip still switches position.

🗒️NOTE: If there is enough space in between your points you can use mouseenter of mousemove instead which only gets called when entering the layer.

// After your mapbox layer code inside the 'load' event

// Create a mapbox popup
const popup = new mapboxgl.Popup({
  closeButton: false,
  closeOnClick: false
});

// Variable to hold the active country/province on hover
let lastId;

// Mouse move event
map.on('mousemove', 'circles', (e) => {
  // Get the id from the properties
  const id = e.features[0].properties.id;

  // Only if the id are different we process the tooltip
  if (id !== lastId) {
    lastId = id;

    // Change the pointer type on move move
    map.getCanvas().style.cursor = 'pointer';

    const { cases, deaths, country, province } = e.features[0].properties;
    const coordinates = e.features[0].geometry.coordinates.slice();

    // Get all data for the tooltip
    const countryISO = lookup.byCountry(country)?.iso2 || lookup.byInternet(country)?.iso2;

    const countryFlag = `https://raw.githubusercontent.com/stefangabos/world_countries/master/data/flags/64x64/${countryISO.toLowerCase()}.png`;

    const provinceHTML = province !== 'null' ? `<p>Province: <b>${province}</b></p>` : '';

    const mortalityRate = ((deaths / cases) * 100).toFixed(2);

    const countryFlagHTML = Boolean(countryISO)
      ? `<img src="${countryFlag}"></img>`
      : '';

    const HTML = `<p>Country: <b>${country}</b></p>
              ${provinceHTML}
              <p>Cases: <b>${cases}</b></p>
              <p>Deaths: <b>${deaths}</b></p>
              <p>Mortality Rate: <b>${mortalityRate}%</b></p>
              ${countryFlagHTML}`;

    // Ensure that if the map is zoomed out such that multiple
    // copies of the feature are visible, the popup appears
    // over the copy being pointed to.
    while (Math.abs(e.lngLat.lng - coordinates[0]) > 180) {
      coordinates[0] += e.lngLat.lng > coordinates[0] ? 360 : -360;
    }

    popup.setLngLat(coordinates).setHTML(HTML).addTo(map);
  }
});

// Mouse leave event
map.on('mouseleave', 'circles', function () {
  // Reset the last Id
  lastId = undefined;
  map.getCanvas().style.cursor = '';
  popup.remove();
});
Enter fullscreen mode Exit fullscreen mode

📍Checkpoint: At this point, you should be done and it should look like this 🍾:

Complete Project

Find the completed code here - CodeSandbox - feel free to insert your access token since that one might not work after a while.

Next Steps

Some ideas to take this further:

  • Filtering by country.
  • Filter by deaths instead of cases.
  • Add a sidebar with some general information, maybe use another API.
  • Make the ranges dynamic to the data, instead of hard-coding 100000 as the upper limit, you could fetch the country with the biggest amount of cases and divide by 7 and create a dynamic range.
  • Save data to local storage so you don't hit the API that often - for example, you can make the local storage expire every 24 hours.

Resources / References

Leigh Halliday 📺 - YouTube Channel that has many high-quality videos, including some about Mapbox. He also deserves a lot more followers :)
Mapbox Examples - Great collection of Mapbox tutorials

Color Palettes

Color Palette Sequence for maps 🔗
Great Color Palette 🔗
Carto 🔗

Mapbox Links

Gallery of Mapbox themes 🔗
Location Helper 🔗
Data-driven styling tutorial 🔗
Popup on hover tutorial 🔗

COVID-19 Links

Covid API 🔗
Another good API 🔗

COVID-19 awareness

And..... that's it, we're done, stay safe 😷 and stay home 🏘️.
Now you can go back to Netflix and binge Tiger King 🐅👑.

Credits

Two of my talented teammates at Jam3 with whom I learned a couple of things during a project that used Mapbox.

Top comments (17)

Collapse
 
anajuliabit profile image
Ana Julia Bittencourt • • Edited

Hi Alejandro, awesome post! As a lover of the open source community I felt a duty to contribute too, so I made a GraphQL API for currents cases about COVID-19. Repo link: github.com/anajuliabit/covid-graph.... Appreciate stars and contributions :)!

Collapse
 
alemesa profile image
Alejandro Mesa •

looks great Ana - I tho about making this tutorial with a GraphQL endpoint but it will add even more complexity to an already long post so I decided to keep it "simpler"

Collapse
 
pulakchakraborty profile image
Pulak Chakraborty •

Hey Alejandro, really a great post <3. I recently started learning React and this was a really helpful article from the learning aspect. Check out my verssion of the website here (c19-india-map.now.sh).

Also, would love the stars in my github repo ;-) (github.com/pulakchakraborty/c19-in...)! Cheers!

Collapse
 
alemesa profile image
Alejandro Mesa •

Thanks for the kind words, I'm glad it was useful
Your version is awesome btw, nice color scheme and graph on the side :)

Collapse
 
agnideep profile image
Agnideep Sarkar •

Loved this

Collapse
 
jfcarocota profile image
Jesús Caro •

mexico provinces not included but thanks, this is really helpfull.

Collapse
 
alemesa profile image
Alejandro Mesa •

yeah the API I'm using doesn't offer Mexico's provinces but you could find another API that offers that or scrap the data yourself and combine the data

Collapse
 
raryson profile image
Raryson Pereira Rost •

Nice, thanks, I have made Nicolas Cage version:
nicolas-cage-covid-map.netlify.com/

Collapse
 
alemesa profile image
Alejandro Mesa •

lol, my eyes hurt from looking at that but nice job nonetheless 👍

Collapse
 
parneet59 profile image
Parneet59 •

Hey...great post! Made me like with react even more!
Also, a quick question...why has the live demo stopped working? It's blank..

Collapse
 
alemesa profile image
Alejandro Mesa •

Hey Parneet59 thank you, works for me maybe the API was updating when you checked - I have no error handling or anything since I wanted to make this simple

Collapse
 
ianasqazi profile image
Anas Qazi •

Thank you so much @Alenjandro. I will use this as a practice app.

Collapse
 
alemesa profile image
Alejandro Mesa •

my pleasure, for sure... make it better :)

Collapse
 
rizkyrajitha profile image
Rajitha Gunathilake •

awesome 👌👌 , i'll try to add this to my existing app

covidlk.now.sh/

thanks

Collapse
 
ngud0119 profile image
Ngu.D.@ce •

Thank you, Alejandro.
👌👌👌

Collapse
 
emanoellopes profile image
Emanoel Lopes •

Great post, really thanks!
Inspired in your post, I did my version:

react-covid19-tracker.netlify.com/

Collapse
 
alemesa profile image
Alejandro Mesa •

🤩Looks awesome dude, I love the charts 👍
I think my only reco is to add a border to circles where there are not many cases, because with this mapbox theme sometimes is hard to notice

View full discussion (17 comments)

Read next

mukarramjavid profile image

How to Create PDFs in React from JSON Data with jsPDF

Mukarram Javid -

jagroop2001 profile image

20 JavaScript Tricks Every Developer Must Know 🚀

Jagroop Singh -

kkr0423 profile image

React Basics~unit test/user event

Ogasawara Kakeru -

saifalikhan9 profile image

Need Help with My Live Transcription Browser Extension – Not Working

saifalikhan9 -