Geo-located photos are part of the current big data communally spread out by photo-sharing platforms such as Flickr. The use of this dynamic and unstructured data as a source for landscape-related disciplines is the main problem addressed in this study. Through this, it was assessed the land-scape perception of locals and tourists in two public open spaces in Munich: Olympiapark and Königsplatz. In this exploratory work, a method based on the KDD (Knowledge Discoveries in Databases) process was used to harvest, transform, classify and interpret the data to make it reliable, valuable and usable. The data harvesting was done by using the Flickr API (Application Programmers Interface) and by transforming and classifying the locals and tourists through a semi-automatic process of filtering. After these initial steps, a series of three analyses were performed: statistical, spatial and content. The results of these analyses showed that the geo-located photos as a source to assess the landscape perception proved to be useful and reliable, due to being able to obtain much data within a short period, and because results from the different analysis were consistent. At the same time, the methods and tools utilized to transform and analyze the data were significant in the process. The landscape perception of locals and tourists of both case studies presented more similarities than differences and some characteristics of the space influenced this perception, making the extracted information valuable and usable for landscape-related disciplines.
Autor / Author: | Montaño, Fernando |
Institution / Institution: | Hochschule Weihenstephan-Triesdorf/University of Applied Sciences, Munich-Freising, Germany |
Seitenzahl / Pages: | 10 |
Sprache / Language: | Englisch |
Veröffentlichung / Publication: | JoDLA − Journal of Digital Landscape Architecture, 3-2018 |
Tagung / Conference: | Digital Landscape Architecture 2018 – Expanding the Boundaries: Landscape Architecture in a Big Data World |
Veranstaltungsort, -datum / Venue, Date: | Munich-Freising, Germany 30-05-18 - 02-06-18 |
Schlüsselwörter (de): | |
Keywords (en): | Landscape perception assessment, geo-located social media, spatial-analysis, content-analysis, data visualization, Flickr |
Paper review type: | Full Paper Review |
DOI: | doi:10.14627/537642037 |
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