• community discovery
• d3.js
• mobilità
• visual analytics

This thesis illustrates and discusses the design and development procedures of Mobility Atlas, a small web framework for interactive and visual analytics applied on a real-life situation such as Human Mobility.
Mobility Atlas is a web application that gives the opportunity to the common user and data analyst the ability to visually explore and interact with mobility data with the end goal of acquiring knowledge and discovering new insights. In the pages ahead this thesis discusses all the steps taken to the development of the final framework, considering all aspects which include technological and analytical elements. Particularly, these steps include the definition of a theoretical framework which illustrates the abstract model of the data, the formalization of the analytical functions based on this model, the design and the implementation of the framework. A real life situation is taken in consideration by utilizing a large dataset of human trajectories, a GPS dataset from more than 150k vehicles in Italy. Some examples of analysis performed on the data are also provided in order to show the potential of the analytical tool. The resulting web framework is built using several technologies, such as Node.js, HTML, CSS and d3.js, the JavaScript library which is nowadays the standard for web-based data visualization projects.