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

Adding a time dimension to your map

In this recipe, we will learn how to visualize data over time. For that purpose, we will use CartoDB and a plugin called Torque. As an example, we are going to plot the paths of airplanes as they depart from Miami International Airport.

How to do it…

The following steps need to be performed:

  1. First of all, we need to transform the data that we want to import into CartoDB to a format that is easy for the import tool to convert.

  2. Click on your dataset and import your data into CartoDB.

  3. Make sure that the imported data has a timestamp field and that it is correctly georeferenced.

  4. Link Torque to your project.

  5. Create a Torque CartoCSS style to stylize the markers generated by the plugin.

  6. Create a new torqueLayer and make sure that you pass the style, user account, and the table.

Torque is the Leaflet plugin we are going to use in order to plot our data over time. Imagine Torque data as a cube with the front side as a two-dimensional map, and the Z direction as the time...