Sistema ETD

banca dati delle tesi e dissertazioni accademiche elettroniche

 

Tesi etd-01192017-105808


Tipo di tesi
Tesi di laurea magistrale
Autore
ADEYEMO, AHMED
URN
etd-01192017-105808
Titolo
Visual Analytics framework for borders of human mobility
Struttura
FILOLOGIA, LETTERATURA E LINGUISTICA
Corso di studi
INFORMATICA UMANISTICA
Commissione
relatore Prof. Rinzivillo, Salvatore
relatore Prof. Pedreschi, Dino
Parole chiave
  • mobilità
  • visual analytics
  • community discovery
  • d3.js
Data inizio appello
06/02/2017;
Disponibilità
completa
Riassunto analitico
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.
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