Overview
This tutorial shows you how to display data from multiple sources on a Google map. As an example, the choropleth map below uses two different sources to highlight various US states, and display state-specific data.
The map uses data from a GeoJSON file to display polygons that define US state boundaries. It can also present data on the map corresponding to each state, which comes from a simulated query to the US Census API.
Select a category of data from the control dropdown menu to update the polygons on the map. You can also hover over a state polygon to view state-specific information in a data box control on the map.
The sample below shows the entire code you need to create this map.
TypeScript
const mapStyle: google.maps.MapTypeStyle[] = [ { stylers: [{ visibility: "off" }], }, { featureType: "landscape", elementType: "geometry", stylers: [{ visibility: "on" }, { color: "#fcfcfc" }], }, { featureType: "water", elementType: "geometry", stylers: [{ visibility: "on" }, { color: "#bfd4ff" }], }, ]; let map: google.maps.Map; let censusMin = Number.MAX_VALUE, censusMax = -Number.MAX_VALUE; function initMap(): void { // load the map map = new google.maps.Map(document.getElementById("map") as HTMLElement, { center: { lat: 40, lng: -100 }, zoom: 4, styles: mapStyle, }); // set up the style rules and events for google.maps.Data map.data.setStyle(styleFeature); map.data.addListener("mouseover", mouseInToRegion); map.data.addListener("mouseout", mouseOutOfRegion); // wire up the button const selectBox = document.getElementById( "census-variable" ) as HTMLSelectElement; google.maps.event.addDomListener(selectBox, "change", () => { clearCensusData(); loadCensusData(selectBox.options[selectBox.selectedIndex].value); }); // state polygons only need to be loaded once, do them now loadMapShapes(); } /** Loads the state boundary polygons from a GeoJSON source. */ function loadMapShapes() { // load US state outline polygons from a GeoJson file map.data.loadGeoJson( "https://storage.googleapis.com/mapsdevsite/json/states.js", { idPropertyName: "STATE" } ); // wait for the request to complete by listening for the first feature to be // added google.maps.event.addListenerOnce(map.data, "addfeature", () => { google.maps.event.trigger( document.getElementById("census-variable") as HTMLElement, "change" ); }); } /** * Loads the census data from a simulated API call to the US Census API. * * @param {string} variable */ function loadCensusData(variable: string) { // load the requested variable from the census API (using local copies) const xhr = new XMLHttpRequest(); xhr.open("GET", variable + ".json"); xhr.onload = function () { const censusData = JSON.parse(xhr.responseText) as any; censusData.shift(); // the first row contains column names censusData.forEach((row: string) => { const censusVariable = parseFloat(row[0]); const stateId = row[1]; // keep track of min and max values if (censusVariable < censusMin) { censusMin = censusVariable; } if (censusVariable > censusMax) { censusMax = censusVariable; } const state = map.data.getFeatureById(stateId); // update the existing row with the new data if (state) { state.setProperty("census_variable", censusVariable); } }); // update and display the legend (document.getElementById("census-min") as HTMLElement).textContent = censusMin.toLocaleString(); (document.getElementById("census-max") as HTMLElement).textContent = censusMax.toLocaleString(); }; xhr.send(); } /** Removes census data from each shape on the map and resets the UI. */ function clearCensusData() { censusMin = Number.MAX_VALUE; censusMax = -Number.MAX_VALUE; map.data.forEach((row) => { row.setProperty("census_variable", undefined); }); (document.getElementById("data-box") as HTMLElement).style.display = "none"; (document.getElementById("data-caret") as HTMLElement).style.display = "none"; } /** * Applies a gradient style based on the 'census_variable' column. * This is the callback passed to data.setStyle() and is called for each row in * the data set. Check out the docs for Data.StylingFunction. * * @param {google.maps.Data.Feature} feature */ function styleFeature(feature: google.maps.Data.Feature) { const low = [5, 69, 54]; // color of smallest datum const high = [151, 83, 34]; // color of largest datum let censusVariable = feature.getProperty("census_variable") as number; // delta represents where the value sits between the min and max const delta = (censusVariable - censusMin) / (censusMax - censusMin); const color: number[] = []; for (let i = 0; i < 3; i++) { // calculate an integer color based on the delta color.push((high[i] - low[i]) * delta + low[i]); } // determine whether to show this shape or not let showRow = true; if ( censusVariable == null || isNaN(censusVariable) ) { showRow = false; } let outlineWeight = 0.5, zIndex = 1; if (feature.getProperty("state") === "hover") { outlineWeight = zIndex = 2; } return { strokeWeight: outlineWeight, strokeColor: "#fff", zIndex: zIndex, fillColor: "hsl(" + color[0] + "," + color[1] + "%," + color[2] + "%)", fillOpacity: 0.75, visible: showRow, }; } /** * Responds to the mouse-in event on a map shape (state). * * @param {?google.maps.MapMouseEvent} e */ function mouseInToRegion(e: any) { // set the hover state so the setStyle function can change the border e.feature.setProperty("state", "hover"); const percent = ((e.feature.getProperty("census_variable") - censusMin) / (censusMax - censusMin)) * 100; // update the label (document.getElementById("data-label") as HTMLElement).textContent = e.feature.getProperty("NAME"); (document.getElementById("data-value") as HTMLElement).textContent = e.feature .getProperty("census_variable") .toLocaleString(); (document.getElementById("data-box") as HTMLElement).style.display = "block"; (document.getElementById("data-caret") as HTMLElement).style.display = "block"; (document.getElementById("data-caret") as HTMLElement).style.paddingLeft = percent + "%"; } /** * Responds to the mouse-out event on a map shape (state). * */ function mouseOutOfRegion(e: any) { // reset the hover state, returning the border to normal e.feature.setProperty("state", "normal"); } declare global { interface Window { initMap: () => void; } } window.initMap = initMap;
JavaScript
const mapStyle = [ { stylers: [{ visibility: "off" }], }, { featureType: "landscape", elementType: "geometry", stylers: [{ visibility: "on" }, { color: "#fcfcfc" }], }, { featureType: "water", elementType: "geometry", stylers: [{ visibility: "on" }, { color: "#bfd4ff" }], }, ]; let map; let censusMin = Number.MAX_VALUE, censusMax = -Number.MAX_VALUE; function initMap() { // load the map map = new google.maps.Map(document.getElementById("map"), { center: { lat: 40, lng: -100 }, zoom: 4, styles: mapStyle, }); // set up the style rules and events for google.maps.Data map.data.setStyle(styleFeature); map.data.addListener("mouseover", mouseInToRegion); map.data.addListener("mouseout", mouseOutOfRegion); // wire up the button const selectBox = document.getElementById("census-variable"); google.maps.event.addDomListener(selectBox, "change", () => { clearCensusData(); loadCensusData(selectBox.options[selectBox.selectedIndex].value); }); // state polygons only need to be loaded once, do them now loadMapShapes(); } /** Loads the state boundary polygons from a GeoJSON source. */ function loadMapShapes() { // load US state outline polygons from a GeoJson file map.data.loadGeoJson( "https://storage.googleapis.com/mapsdevsite/json/states.js", { idPropertyName: "STATE" }, ); // wait for the request to complete by listening for the first feature to be // added google.maps.event.addListenerOnce(map.data, "addfeature", () => { google.maps.event.trigger( document.getElementById("census-variable"), "change", ); }); } /** * Loads the census data from a simulated API call to the US Census API. * * @param {string} variable */ function loadCensusData(variable) { // load the requested variable from the census API (using local copies) const xhr = new XMLHttpRequest(); xhr.open("GET", variable + ".json"); xhr.onload = function () { const censusData = JSON.parse(xhr.responseText); censusData.shift(); // the first row contains column names censusData.forEach((row) => { const censusVariable = parseFloat(row[0]); const stateId = row[1]; // keep track of min and max values if (censusVariable < censusMin) { censusMin = censusVariable; } if (censusVariable > censusMax) { censusMax = censusVariable; } const state = map.data.getFeatureById(stateId); // update the existing row with the new data if (state) { state.setProperty("census_variable", censusVariable); } }); // update and display the legend document.getElementById("census-min").textContent = censusMin.toLocaleString(); document.getElementById("census-max").textContent = censusMax.toLocaleString(); }; xhr.send(); } /** Removes census data from each shape on the map and resets the UI. */ function clearCensusData() { censusMin = Number.MAX_VALUE; censusMax = -Number.MAX_VALUE; map.data.forEach((row) => { row.setProperty("census_variable", undefined); }); document.getElementById("data-box").style.display = "none"; document.getElementById("data-caret").style.display = "none"; } /** * Applies a gradient style based on the 'census_variable' column. * This is the callback passed to data.setStyle() and is called for each row in * the data set. Check out the docs for Data.StylingFunction. * * @param {google.maps.Data.Feature} feature */ function styleFeature(feature) { const low = [5, 69, 54]; // color of smallest datum const high = [151, 83, 34]; // color of largest datum let censusVariable = feature.getProperty("census_variable"); // delta represents where the value sits between the min and max const delta = (censusVariable - censusMin) / (censusMax - censusMin); const color = []; for (let i = 0; i < 3; i++) { // calculate an integer color based on the delta color.push((high[i] - low[i]) * delta + low[i]); } // determine whether to show this shape or not let showRow = true; if (censusVariable == null || isNaN(censusVariable)) { showRow = false; } let outlineWeight = 0.5, zIndex = 1; if (feature.getProperty("state") === "hover") { outlineWeight = zIndex = 2; } return { strokeWeight: outlineWeight, strokeColor: "#fff", zIndex: zIndex, fillColor: "hsl(" + color[0] + "," + color[1] + "%," + color[2] + "%)", fillOpacity: 0.75, visible: showRow, }; } /** * Responds to the mouse-in event on a map shape (state). * * @param {?google.maps.MapMouseEvent} e */ function mouseInToRegion(e) { // set the hover state so the setStyle function can change the border e.feature.setProperty("state", "hover"); const percent = ((e.feature.getProperty("census_variable") - censusMin) / (censusMax - censusMin)) * 100; // update the label document.getElementById("data-label").textContent = e.feature.getProperty("NAME"); document.getElementById("data-value").textContent = e.feature .getProperty("census_variable") .toLocaleString(); document.getElementById("data-box").style.display = "block"; document.getElementById("data-caret").style.display = "block"; document.getElementById("data-caret").style.paddingLeft = percent + "%"; } /** * Responds to the mouse-out event on a map shape (state). * */ function mouseOutOfRegion(e) { // reset the hover state, returning the border to normal e.feature.setProperty("state", "normal"); } window.initMap = initMap;
CSS
html, body, #map { height: 100%; margin: 0; padding: 0; overflow: hidden; } .nicebox { position: absolute; text-align: center; font-family: "Roboto", "Arial", sans-serif; font-size: 13px; z-index: 5; box-shadow: 0 4px 6px -4px #333; padding: 5px 10px; background: rgb(255, 255, 255); background: linear-gradient(to bottom, rgb(255, 255, 255) 0%, rgb(245, 245, 245) 100%); border: rgb(229, 229, 229) 1px solid; } #controls { top: 10px; left: 110px; width: 360px; height: 45px; } #data-box { top: 10px; left: 500px; height: 45px; line-height: 45px; display: none; } #census-variable { width: 360px; height: 20px; } #legend { display: flex; display: -webkit-box; padding-top: 7px; } .color-key { background: linear-gradient(to right, hsl(5, 69%, 54%) 0%, hsl(29, 71%, 51%) 17%, hsl(54, 74%, 47%) 33%, hsl(78, 76%, 44%) 50%, hsl(102, 78%, 41%) 67%, hsl(127, 81%, 37%) 83%, hsl(151, 83%, 34%) 100%); flex: 1; -webkit-box-flex: 1; margin: 0 5px; text-align: left; font-size: 1em; line-height: 1em; } #data-value { font-size: 2em; font-weight: bold; } #data-label { font-size: 2em; font-weight: normal; padding-right: 10px; } #data-label:after { content: ":"; } #data-caret { margin-left: -5px; display: none; font-size: 14px; width: 14px; }
HTML
<html> <head> <title>Mashups with google.maps.Data</title> <link rel="stylesheet" type="text/css" href="./style.css" /> <script type="module" src="./index.js"></script> </head> <body> <div id="controls" class="nicebox"> <div> <select id="census-variable"> <option value="https://storage.googleapis.com/mapsdevsite/json/DP02_0066PE" > Percent of population over 25 that completed high school </option> <option value="https://storage.googleapis.com/mapsdevsite/json/DP05_0017E" > Median age </option> <option value="https://storage.googleapis.com/mapsdevsite/json/DP05_0001E" > Total population </option> <option value="https://storage.googleapis.com/mapsdevsite/json/DP02_0016E" > Average family size </option> <option value="https://storage.googleapis.com/mapsdevsite/json/DP03_0088E" > Per-capita income </option> </select> </div> <div id="legend"> <div id="census-min">min</div> <div class="color-key"><span id="data-caret">◆</span></div> <div id="census-max">max</div> </div> </div> <div id="data-box" class="nicebox"> <label id="data-label" for="data-value"></label> <span id="data-value"></span> </div> <div id="map"></div> <!-- The `defer` attribute causes the script to execute after the full HTML document has been parsed. For non-blocking uses, avoiding race conditions, and consistent behavior across browsers, consider loading using Promises. See https://developers.google.com/maps/documentation/javascript/load-maps-js-api for more information. --> <script src="https://maps.googleapis.com/maps/api/js?key=AIzaSyB41DRUbKWJHPxaFjMAwdrzWzbVKartNGg&callback=initMap&v=weekly" defer ></script> </body> </html>
Try Sample
Getting started
You can develop your own version of this choropleth map by using the code in this tutorial.
To begin doing this, create a new file in a text editor and save it as index.html
.
Read the sections that follow to understand the code that you can add to this file.
Creating a basic map
This section explains the code that sets up a basic map. This may be similar to how you've created maps when getting started with the Maps JavaScript API.
Copy the code below into your index.html
file. This code loads the
Maps JavaScript API, and makes the map fullscreen.
<!DOCTYPE html> <html> <head> <meta charset="utf-8"> <meta name="viewport" content="initial-scale=1.0, user-scalable=no" /> <title>Mashups with google.maps.Data</title> <style> #map { height: 100%; } /* Optional: Makes the sample page fill the window. */ html, body { height: 100%; margin: 0; padding: 0; } </style> </head> <body> <div id="map"></div> <script> function initMap() { // load the map map = new google.maps.Map(document.getElementById('map'), { center: {lat: 40, lng: -100}, zoom: 4, styles: mapStyle }); var mapStyle = [{ 'featureType': 'all', 'elementType': 'all', 'stylers': [{'visibility': 'off'}] }, { 'featureType': 'landscape', 'elementType': 'geometry', 'stylers': [{'visibility': 'on'}, {'color': '#fcfcfc'}] }, { 'featureType': 'water', 'elementType': 'labels', 'stylers': [{'visibility': 'off'}] }, { 'featureType': 'water', 'elementType': 'geometry', 'stylers': [{'visibility': 'on'}, {'hue': '#5f94ff'}, {'lightness': 60}] }]; } </script> <script defer src="https://maps.googleapis.com/maps/api/js?key=YOUR_API_KEY&callback=initMap"> </script> </body> </html>
The code within the first script tag is the starting point that runs the program by creating a
function called initMap
that initializes the map object.
The stylers in the code above turn off the visibility of all
featureTypes
on the map like roads, points of interest, landscape, administrative
areas, and all their elementTypes
. For a list of all available values for
featureType
and elementType
, see the
JSON style reference.
Click YOUR_API_KEY
in the code sample, or follow the instructions to
get an API key.
Replace YOUR_API_KEY
with your application's API key. After the API is
completely loaded, the callback parameter in the script tag below executes the
initMap()
function in the HTML file.
<script> defer src="https://maps.googleapis.com/maps/api/js?key=YOUR_API_KEY&callback=initMap" </script>
Creating and styling the map control
The code below creates the following controls on the map:
- A control with a dropdown menu that has 5 different data options.
- A map legend.
- A data box displaying state-specific data which appears when you hover over a polygon.
<div id="controls" class="nicebox"> <div> <select id="census-variable"> <option value="https://storage.googleapis.com/mapsdevsite/json/DP02_0066PE">Percent of population over 25 that completed high school</option> <option value="https://storage.googleapis.com/mapsdevsite/json/DP05_0017E">Median age</option> <option value="https://storage.googleapis.com/mapsdevsite/json/DP05_0001E">Total population</option> <option value="https://storage.googleapis.com/mapsdevsite/json/DP02_0016E">Average family size</option> <option value="https://storage.googleapis.com/mapsdevsite/json/DP03_0088E">Per-capita income</option> </select> </div> <div id="legend"> <div id="census-min">min</div> <div class="color-key"><span id="data-caret">◆</span></div> <div id="census-max">max</div> </div> </div> <div id="data-box" class="nicebox"> <label id="data-label" for="data-value"></label> <span id="data-value"></span> </div>
Use the code below within the style
tags to style the map controls.
<style> html, body, #map { height: 100%; margin: 0; padding: 0; overflow: hidden; } .nicebox { position: absolute; text-align: center; font-family: "Roboto", "Arial", sans-serif; font-size: 13px; z-index: 5; box-shadow: 0 4px 6px -4px #333; padding: 5px 10px; background: rgb(255,255,255); background: linear-gradient(to bottom,rgba(255,255,255,1) 0%,rgba(245,245,245,1) 100%); border: rgb(229, 229, 229) 1px solid; } #controls { top: 10px; left: 110px; width: 360px; height: 45px; } #data-box { top: 10px; left: 500px; height: 45px; line-height: 45px; display: none; } #census-variable { width: 360px; height: 20px; } #legend { display: flex; display: -webkit-box; padding-top: 7px } .color-key { background: linear-gradient(to right, hsl(5, 69%, 54%) 0%, hsl(29, 71%, 51%) 17%, hsl(54, 74%, 47%) 33%, hsl(78, 76%, 44%) 50%, hsl(102, 78%, 41%) 67%, hsl(127, 81%, 37%) 83%, hsl(151, 83%, 34%) 100%); flex: 1; -webkit-box-flex: 1; margin: 0 5px; text-align: left; font-size: 1.0em; line-height: 1.0em; } #data-value { font-size: 2.0em; font-weight: bold } #data-label { font-size: 2.0em; font-weight: normal; padding-right: 10px; } #data-label:after { content: ':' } #data-caret { margin-left: -5px; display: none; font-size: 14px; width: 14px} </style>
Importing data from the US Census API
The code below queries the US Census Bureau for the most recent census data of all US states, which it receives in JSON format.
function loadCensusData(variable) { // load the requested variable from the census API var xhr = new XMLHttpRequest(); xhr.open('GET', 'http://api.census.gov/data/2012/acs5/profile?get=' + variable + '&for=state:*&key=YOUR_API_KEY'); xhr.onload = function() { var censusData = JSON.parse(xhr.responseText); censusData.shift(); // the first row contains column names censusData.forEach(function(row) { var censusVariable = parseFloat(row[0]); var stateId = row[1]; // keep track of min and max values if (censusVariable < censusMin) { censusMin = censusVariable; } if (censusVariable > censusMax) { censusMax = censusVariable; } // update the existing row with the new data map.data .getFeatureById(stateId) .setProperty('census_variable', censusVariable); }); // update and display the legend document.getElementById('census-min').textContent = censusMin.toLocaleString(); document.getElementById('census-max').textContent = censusMax.toLocaleString(); }; xhr.send(); }
Styling the data
The code below creates the choropleth map by applying a gradient to each polygon in the dataset,
based on the census data value. You can style data using a
Data.StyleOptions
object, or a function that returns a Data.StyleOptions
object.
// set up the style rules and events for google.maps.Data map.data.setStyle(styleFeature); function styleFeature(feature) { var low = [5, 69, 54]; // color of smallest datum var high = [151, 83, 34]; // color of largest datum // delta represents where the value sits between the min and max var delta = (feature.getProperty('census_variable') - censusMin) / (censusMax - censusMin); var color = []; for (var i = 0; i < 3; i++) { // calculate an integer color based on the delta color[i] = (high[i] - low[i]) * delta + low[i]; } // determine whether to show this shape or not var showRow = true; if (feature.getProperty('census_variable') == null || isNaN(feature.getProperty('census_variable'))) { showRow = false; } var outlineWeight = 0.5, zIndex = 1; if (feature.getProperty('state') === 'hover') { outlineWeight = zIndex = 2; } return { strokeWeight: outlineWeight, strokeColor: '#fff', zIndex: zIndex, fillColor: 'hsl(' + color[0] + ',' + color[1] + '%,' + color[2] + '%)', fillOpacity: 0.75, visible: showRow }; }
In addition to coloring the polygons, the code below creates an interactive element by adding events that respond to mouse activity. Hovering over a polygon highlights the state border, and simultaneously updates the data box control on the map.
// set up the style rules and events for google.maps.Data map.data.addListener('mouseover', mouseInToRegion); map.data.addListener('mouseout', mouseOutOfRegion); /** * Responds to the mouse-in event on a map shape (state). * * @param {?google.maps.MapMouseEvent} e */ function mouseInToRegion(e) { // set the hover state so the setStyle function can change the border e.feature.setProperty('state', 'hover'); var percent = (e.feature.getProperty('census_variable') - censusMin) / (censusMax - censusMin) * 100; // update the label document.getElementById('data-label').textContent = e.feature.getProperty('NAME'); document.getElementById('data-value').textContent = e.feature.getProperty('census_variable').toLocaleString(); document.getElementById('data-box').style.display = 'block'; document.getElementById('data-caret').style.display = 'block'; document.getElementById('data-caret').style.paddingLeft = percent + '%'; } /** * Responds to the mouse-out event on a map shape (state). * * @param {?google.maps.MapMouseEvent} e */ function mouseOutOfRegion(e) { // reset the hover state, returning the border to normal e.feature.setProperty('state', 'normal'); }
Loading the state-boundary polygons
Add the code below after the entire initMap
function. The loadMapShapes
function loads polygons for US state boundaries from a GeoJSON file, using the
loadGeoJson
method.
/** Loads the state boundary polygons from a GeoJSON source. */ function loadMapShapes() { // load US state outline polygons from a GeoJSON file map.data.loadGeoJson('https://storage.googleapis.com/mapsdevsite/json/states.js', { idPropertyName: 'STATE' });
Add the line below to the end of the initMap
function.
// state polygons only need to be loaded once, do them now loadMapShapes();
On selecting a data source option from the map control dropdown menu, the map queries the
US Census Data API for the
specified variable. To connect the census data with the shape data, the code sets the
idPropertyName
to 'STATE', which is a common key in both the Census data and in the GeoJson properties.
More information
This demo uses the Census Bureau Data API, but is not endorsed or certified by the Census Bureau.