Mapping a historic neighbourhood through user-generated content: the case of Alfama, Lisbon (Portugal)

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Participant-based methods aimed at extracting neighbourhood definitions are labour and time intensive. On the other hand, user-generated content (UGC) can provide locations to assess the extent of neighbourhoods. We investigated the definitions of Alfama - a historic neighbourhood in Lisbon (Portugal) - using six sources of UGC and applied a modification of the DBSCAN algorithm developed in the literature. By generating shapes from each source, we were able to visually and quantitatively evaluate their agreement as well as their differences.We demonstrate how different profiles of user activity from each source yielded varied geographies of Alfama. Although discrete representations are not the optimal choice, practical applications such as urban planning usually demand sharp definitions. Lastly, our approach can be extended and improved by adding more sources of UGC data and by picking other case studies.
Original languageEnglish
Title of host publicationProceedings of the 25th AGILE Conference on Geographic Information Science, 2022
EditorsE. Parseliunas, A. Mansourian, P. Partsinevelos, J. Suziedelyte-Visockiene
Pages1-8
Number of pages8
Volume3
DOIs
Publication statusPublished - 20 Jun 2022
Event25th AGILE Conference on Geographic Information Science, 2022: Artificial Intelligence in the service of Geospatial Technologies - Vilnius, Lithuania
Duration: 14 Jun 202217 Jun 2022
Conference number: 25
https://agile-online.org/conference-2022

Publication series

NameAGILE: GIScience Series
Volume63

Conference

Conference25th AGILE Conference on Geographic Information Science, 2022
Abbreviated titleAGILE 2022
Country/TerritoryLithuania
CityVilnius
Period14/06/2217/06/22
Internet address

Keywords

  • Neighbourhoods
  • User-generated content
  • A-DBSCAN
  • Alfama

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