License: 
Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.COSIT.2017.21
URN: urn:nbn:de:0030-drops-77523
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2017/7752/
Jeawak, Shelan S. ;
Jones, Christopher B. ;
Schockaert, Steven
Using Flickr for Characterizing the Environment: An Exploratory Analysis
Abstract
The photo-sharing website Flickr has become a valuable informal information source in disciplines such as geography and ecology. Some ecologists, for instance, have been manually analysing Flickr to obtain information that is more up-to-date than what is found in traditional sources. While several previous works have shown the potential of Flickr tags for characterizing places, it remains unclear to what extent such tags can be used to derive scientifically useful information for ecologists in an automated way. To obtain a clearer picture about the kinds of environmental features that can be modelled using Flickr tags, we consider the problem of predicting scenicness, species distribution, land cover, and several climate related features. Our focus is on comparing the predictive power of Flickr tags with that of structured data from more traditional sources. We find that, broadly speaking, Flickr tags perform comparably to the considered structured data sources, being sometimes better and sometimes worse. Most importantly, we find that combining Flickr tags with structured data sources consistently, and sometimes substantially, improves the results. This suggests that Flickr indeed provides information that is complementary to traditional sources.
BibTeX - Entry
@InProceedings{jeawak_et_al:LIPIcs:2017:7752,
author = {Shelan S. Jeawak and Christopher B. Jones and Steven Schockaert},
title = {{Using Flickr for Characterizing the Environment: An Exploratory Analysis}},
booktitle = {13th International Conference on Spatial Information Theory (COSIT 2017)},
pages = {21:1--21:13},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-043-9},
ISSN = {1868-8969},
year = {2017},
volume = {86},
editor = {Eliseo Clementini and Maureen Donnelly and May Yuan and Christian Kray and Paolo Fogliaroni and Andrea Ballatore},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2017/7752},
URN = {urn:nbn:de:0030-drops-77523},
doi = {10.4230/LIPIcs.COSIT.2017.21},
annote = {Keywords: Social media, Volunteered Geographic Information, Ecology}
}
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Keywords: |
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Social media, Volunteered Geographic Information, Ecology |
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Collection: |
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13th International Conference on Spatial Information Theory (COSIT 2017) |
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Issue Date: |
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2017 |
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Date of publication: |
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29.08.2017 |
