| dcterms.contributor.author | Battistoni, Pietro | |
| dc.date.accessioned | 2024-07-02T11:23:14Z | |
| dc.date.available | 2024-07-02T11:23:14Z | |
| dcterms.date.issued | 2023-04-13 | |
| dcterms.identifier.uri | http://elea.unisa.it/xmlui/handle/10556/7213 | |
| dc.description | 2020 - 2021 | it_IT |
| dc.description.abstract | In order to reduce poverty and improve people’s lives everywhere, territorial development must be sustainable. Data science
and analytics can offer fundamental contributions to it. Moreover, to achieve the 17 goals in the 2030 Agenda for Sustainable
development defined by United Nations, citizens’ participation
in decision processes is paramount. Indeed, it helps fight against
corruption and facilitates the policymakers aligning their decision with the needs of citizens.
The research described in this thesis has two main objectives,
namely to harness Big Data for sustainable spatial development
and to promote citizen involvement in decision-making processes
by offering them a new tool for geovisual analysis of spatial data.
The growing number of devices and people connected to the
Internet are valuable sources of geographically localized information, not yet fully exploited. Although this data has all the
characteristics of the Big Data for the Sustainable Development,
as defined by United Nations, it requires innovative architecture
and tools to be managed. Furthermore, citizens’ involvement
requires that these tools should be simple to use and understand,
even during complex data analyses.
The dissertation describes the research that led to the layered
framework that helps leverage Big Data for Sustainable Development, and the new visual tool that helps citizens participate in
data analysis. [edited by Author] | it_IT |
| dc.language.iso | en | it_IT |
| dcterms.publisher.alternative | Universita degli studi di Salerno | it_IT |
| dcterms.subject | Chorems | it_IT |
| dcterms.subject | Territorial Development | it_IT |
| dcterms.subject | IoT | it_IT |
| dcterms.title | GeoVisual Analytics methods and techniques for territorial sustainable development | it_IT |
| dcterms.type | Doctoral Thesis | it_IT |
| dc.subject.miur | ING-INF/05 SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI | it_IT |
| dc.contributor.coordinatore | De Lucia, Andrea | it_IT |
| dc.description.ciclo | XXXIV ciclo | it_IT |
| dc.contributor.tutor | Sebillo, Monica | it_IT |
| dc.identifier.Dipartimento | Informatica | it_IT |
