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A general approach to value identification of large scale geospatial data
Citation
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 |
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| Author/s: |
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| 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 |
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 |
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| DC Identifier: | https://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: | 31 May 2022 17:52 |
