Analytics dashboards display different data visualizations to represent and convey data in ways that allow users to quickly digest and analyze information. Most multivariate datasets consumed by dashboards include a spatial field/s, such as an observation's set of coordinates (latitude and longitude). Plotting this data on a map visualization contextualizes the data within a real-world setting and sheds light on spatial patterns that would otherwise be hidden in the data. Particularly, seeing the distribution of your data across an area connects it to geographical features and area-specific data (i.e., neighborhood/community demographics) available from open data portals.
The earliest example of this is the 1854 cholera visualization by John Snow, who marked cholera cases on a map of London's Soho and uncovered the source of the cholera outbreak by noticing a cluster of cases around a water pump. This discovery helped to correctly identify cholera as a waterborne disease and not as an airbourne disease. Ultimately, it changed how we think about disease transmission and the impact our surroundings and environment have on our health. If your data consists of spatial field/s, then you too can apply the simple technique of plotting markers on a map to extrapolate valuable insight from your own data.
Map visualizations are eye-catching and take on many forms: heatmaps, choropleth maps, flow maps, spider maps, etc. Although colorful and aesthetically pleasing, these visualizations provide intuitive controls for users to navigate through their data with little effort. To create a map visualization, many popular libraries (e.g., Google Maps API and deck.gl) support drawing shapes, adding markers and overlaying geospatial visualization layers on top of a set of base map tiles. Each layer generates a pre-defined visualization based on a collection of data. It associates each data point with certain attributes (color, size, etc.) and renders them on to a map.
By pairing a map visualization library with React.js, developers can build dynamic map visualizations and embed them into an analytics dashboard. If the visualizations' data comes from a PostgreSQL database, then we can make use of PostGIS geospatial functions to help answer interesting questions related to spatial relationships, such as which data points lie within a 1 km. radius of a specific set of coordinates.
Below, I'm going to show you how to visualize geographic data queried from a PostgreSQL database on Google Maps. This tutorial will involve React.js and the
@react-google-maps/api library, which contains React.js bindings and hooks to the Google Maps API, to create a map visualization that shows the location of data points.
Installation and Setup#
To get started, clone the following two repositories:
The first repository contains a Create React App with TypeScript client-side application that displays a query builder for composing and sending queries and a table for presenting the fetched data.
The second repository contains a multi-container Docker application that consists of an Express.js API, a PostgreSQL database and pgAdmin.
The Express.js API connects to the PostgreSQL database, which contains a single table named
cp_squirrels seeded with 2018 Central Park Squirrel Census data from the NYC Open Data portal. Each record in this dataset represents a sighting of an eastern gray squirrel in New York City's Central Park in the year 2018. When a request is sent to the API endpoint
POST /api/records, the API processes the query attached as the body of the request and constructs a SQL statement from it. The
pg client executes the SQL statement against the PostgreSQL database, and the API sends back the result in the response. Once it receives this response, the client renders the data to the table.
To run the client-side application, execute the following commands within the root of the project's directory:
Inside of your browser, visit this application at http://localhost:3000/.
Before running the server-side application, add a
.env.development file with the following environment variables within the root of the project's directory:
To run the server-side application, execute the following commands within the root of the project's directory:
Currently, the client-side application only displays the data within a table. For it to display the data within a map visualization, we will need to install several NPM packages:
@react-google-maps/api- A library that provides hooks and components for loading the Google Maps API and customizing Google Maps with drawings, layers, etc.
@types/google.maps- A type declaration file for adding types for Google Maps. This will prevent TypeScript from raising static analysis errors whenever
Obtaining an API key for Google Maps#
The Google Maps API requires an API key, which tracks your map usage. It provides a free quota of Google Map queries, but once you exceed the quota, you will be billed for the excessive usage. Without a valid API key, Google Maps fails to load:
The process of generating an API key involves a good number of steps, but it should be straight-forward.
First, navigate to your Google Cloud dashboard and create a new project. Let's name the project "react-google-maps-sql-viz."
Once the project is created, select this project as the current project in the notifications pop-up.
This reloads the dashboard with this project now selected as the current project. Now click on the "+ Enable APIs and Services" button.
Within the "Credentials" page, click the "Credentials in APIs & Services" link.
Because this is a new project, there should be zero credentials listed. Click the "+ Create Credentials" button, and within the pop-up dropdown, click the "API key" option.
This will generate an API key with default settings. Copy the API key to your clipboard and close the modal. Click on the pencil icon to rename the API key and restrict it to our client-side application.
<select /> element for this key to only allow access to the Google Maps API. All other APIs are off limits. After you finish making these changes, press the "Save" button.
Note: Press the "Regenerate Key" button if the API key is compromised or accidentally leaked in a public repository, etc.
The dashboard redirects you back to the "API & Services" page, which now displays the updated API key information.
Also, don't forget to enable billing! Otherwise, the map tiles fail to load:
When you create a billing account and link the project to the billing account, you must provide a valid credit/debit card.
Adding the Google Maps API Key as an Environment Variable#
When running the client-side application in different environments, each environment supplies a different set of environment variables to the application. For example, if you decide to deploy this client-side application live to production, then you would provide a different API key than the one used for local development. The API key used for local development comes with its own set of restrictions, such as only being valid for applications running on http://localhost:3000/, and collects metrics specific to local development.
For local development, let's create a
.env file at the root of the client-side application's project directory.
For environment variables to be accessible by Create React App, they must be prefixed with
REACT_APP. Therefore, let's name the API key's environment variable
REACT_APP_GOOGLE_MAPS_API_KEY, and set it to the API key copied to the clipboard.
Adding a Marker to Google Maps#
Let's start off by adding a map to our client-side application.
First, import the following components and hooks from the
GoogleMap- A component that represent the map itself. All other components (e.g., layers, geometric shapes and markers) are rendered within this component.
Marker- A component that represents a Google Maps marker, which identifies a single location on a map. This component must be nested within the
useJsApiLoader- A hook that loads the Google Maps API and returns a flag
isLoaded, which indicates whether the API has successfully loaded.
Let's destructure out the API key's environment variable from
Establish where the map will center. Because our dataset focuses on squirrels within New York City's Central Park, let's center the map at Central Park. We will be adding a marker labeled "Central Park" at this location.
<App /> functional component, let's declare a state variable that will hold an instance of our map in-memory. For now, it will be unused.
useJsApiLoader hook with the API key and an ID that's set as an attribute of the Google Maps API
<script /> tag. Once the API has loaded,
isLoaded will be set to
true, and we can then render the
<GoogleMap /> component.
Currently, TypeScript doesn't know what the type of our environment variable is. TypeScript expects the
googleMapsApiKey option to be set to a string, but it has no idea if the
REACT_APP_GOOGLE_MAPS_API_KEY environment variable is a string or not. Under the
NodeJS namespace, define the type of this environment variable as a string within the
Beneath the table, render the map. Only render the map once the Google Maps API has finished loading. Pass the following props to the
<GoogleMap /> component:
mapContainerStyle- Styles the
<div />container of the map.
center- The coordinates of the map's center.
zoom- The initial zoom level of the map.
onLoad- Executes a function when the component has mounted to the DOM.
onUnmount- Executes a function when the component has unmounted from the DOM.
Here, we set the center of the map to Central Park and set the zoom level to 14. Within the map, add a marker at Central Park, which will physically mark the center of the map.
onLoad function will set the map instance in state while the
onUnmount function will wipe the map instance from state.
Altogether, here's how your
src/App.tsx should look after making the above modifications.