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

Clustering markers to improve our map

As we already saw, creating markers and adding them to a map is not a difficult task at all. There are circumstances in which creating the markers one by one may work; however, what happens if the data we want to visualize has thousands of records?

Populating the map with large amounts of data is inefficient performance-wise, and the lag dominates the user experience. The user will not be able to distinguish the markers and have a clear picture of what is going on in this crowded map. Surely, this is a poor user experience.

In this recipe, you will learn how to use clustering to present data in a more efficient and clean way.

How to do it…

Perform the following steps:

  1. Import the Leaflet.markercluster plugin.

  2. Create a new featureLayer and add the data you want to use as features.

  3. Once the data in the featureLayer is loaded, create a clusterGroup and add the features layer to it.

Creating markers

Perform the following steps:

  1. Open the chapter-4-example6-starter...