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 choropleth map

In this recipe, we will create a choropleth map. In this type of map, the shaded areas represent the measurement of a variable—for example, population density, total population, or temperature. Higher values in the variable are represented by a denser color.

We will now create a choropleth map that shows the education level in the United States.

How to do it…

The condensed steps are as follows:

  1. Generate a map with a base layer.

  2. Generate a GeoJSON that contains the data we want to display, as well as a polygon of the area that the data represents.

  3. Create a GeoJSON layer using L.geoJson. Enumerate through the data, and for each feature, use style(<GeoJSON> featureData) to style the polygon.

Let's perform these steps now:

  1. Start by opening the chapter-4-example11-choropleth-starter project in your favorite text editor. There is already a configured base map, as in the previous recipes. Open the index.html file.

  2. We will import a states.js file using the following line: