I would like to describe a way to easily implement a simple heat map in an Angular application. For that, I will use two external libraries, Leaflet.js and …<\/b>
\nJoin the DZone community and get the full member experience. In the article, I would like to describe a way to easily implement a simple heat map in an Angular application. For that, I will use two external libraries, which are going to be Leaflet.js and Heatmaps.js. Before the implementation of the heat map, I prefer to begin with a brief introduction to the libraries I mentioned above. It is one of the most popular JavaScript libraries for interactive maps. It has over 30k stars on GitHub. There is an alternative to it such as OpenLayers. But in my example, I picked a leaflet. JavaScript library for heat maps implementation. It is very easy to use and it takes only several lines of code to bring heat visualization. Most important in our case is that this library contain the plugin for a leaflet. Time to start the implementation of dynamic heat maps. First, we need to create a simple angular project by using the following command. ng new heatmap Now, we need to install the required libraries. npm install leaflet npm install heatmap.js To be able to represent map tiles properly we need to add links to leaflet styles in the angular.json file. Besides that, links to libraries’ JavaScript code also should be added. The next step is to implement map representation in the app. For that, we need to add a div in the app.component.html file with id=\u00a0\u00bbmap\u00a0\u00bb. Then we can style it by assigning width: 100vw and height: 100vh. Inside the app.component.ts, we need to write the following code: To be able to show heat layers, we need to add some data. For that, I have created a separate file in the project which contains a randomly generated data set. Finally, we can implement heat layers by enhancing the logic in app.component.ts. That is how the whole component looks in the end: And here is how the app looks: As you see it took only several lines of code to have heat maps visualization. In practice, it can be used for different purposes, such as climate change representation, the volume of events on location, or even for movement tracking. For example, FIFA uses heat maps to represent football player movement. Hope it is helpful. The source code of a demo application you can find in my GitHub. Opinions expressed by DZone contributors are their own.<\/p>\n