Book Image

Mapbox Cookbook

By : Bill Kastanakis, Vasileios Kastanakis
Book Image

Mapbox Cookbook

By: Bill Kastanakis, Vasileios Kastanakis

Overview of this book

Maps are an essential element in today’s location aware applications. Right from displaying earth surface information to creating thematic maps displaying plethora of information, most of the developers lack the necessary knowledge to create customizable maps with combination of various tools and libraries. The MapBox platform is one such platform which offers all the tools and API required to create and publish a totally customizable map. Starting with building your first map with the online MapBox Editor, we will take you all the way to building advanced web and mobile applications with totally customizable map styles. Through the course of chapters we’ll learn CartoCSS styling language and understand the various components of MapBox platform and their corresponding JavaScript API. In the initial few chapters we will dive deeper into the TileMill and MapBox Studio components of MapBox and use them to generate custom styled map tiles and vector maps. Furthermore, we will publish these custom maps using PHP, node.js and third party tools like Geoserver. We’ll also learn to create different visualizations and map styles like a choropleth map, a heat map and add user interactivity using a UFTGrid. Moving on, we dive into advanced concepts and focus on integration with third party services like Foursquare, Google FusionTables, CartoDB, and Torque to help you populate and even animate your maps. In the final chapter we’ll learn to use the Mapbox SDK to create and publish interactive maps for the iOS platform. By the end of this book, you will learn about MapBox GL and how to create a fully functional, location-aware mobile app, using the maps styles created in the recipes.
Table of Contents (13 chapters)
Mapbox Cookbook
About the Author
About the Reviewer

Creating a heat map

In this recipe, we will create a heat map. A heat map usually visualizes the data range using a pseudo color, with the hotter colors being the higher values and the colder colors representing the lower range values.

How to do it…

The plugin we will use requires the data to be in a specific format, which is an array of [latitude, longitude, altitude]. It's unlikely that data in this format will be available from services, so first of all, the task is to enumerate through the actual data and format it as required.

Next, we have to create heatLayer, which is provided by the Leaflet.heat plugin, pass the data and options, and add it to the map. We will perform the following steps in this recipe:

  1. Start by opening the chapter-4-example12- heat-starter project and opening the index.html file. We need to import the leaflet-heat plugin, so add the following line after the Mapbox.js scripts:

        <script src='