A general approach to value identification of large scale geospatial data

Bigini, Gioele (2019). A general approach to value identification of large scale geospatial data. Thesis (Master thesis), E.T.S. de Ingenieros Informáticos (UPM).

Description

Title: A general approach to value identification of large scale geospatial data
Author/s:
  • Bigini, Gioele
Contributor/s:
  • Menasalvas Ruiz, Ernestina
  • Brambilla, Marco
Item Type: Thesis (Master thesis)
Masters title: Data Science
Date: 30 June 2019
Subjects:
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Nowadays most of mobile devices continuously record information as geolocalized data. With geo-localized data It is actually possible to obtain interesting information useful in different sectors as car insurance and fleet management. One of these applications is SmartRoadSense, an application developed to collect geolocalized data when driving a car. The purpose of this work is to extract important information related to the real world distribution of geo-localized data in order to give the right overall visualization of the data collected.

More information

Item ID: 56865
DC Identifier: http://oa.upm.es/56865/
OAI Identifier: oai:oa.upm.es:56865
Deposited by: Biblioteca Facultad de Informatica
Deposited on: 14 Oct 2019 08:10
Last Modified: 14 Oct 2019 08:10
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