Social media and GIScience: Collection, analysis, and visualization of user-generated spatial data

Author: 
Date created: 
2021-06-21
Identifier: 
etd21458
Keywords: 
Social media
Spatial-temporal analysis
Location-based social media data
Geographic information systems
Cartographic visualization
Crowdsourced data collection
Abstract: 

Over the last decade, social media platforms have eclipsed the height of popular culture and communication technology, which, in combination with widespread access to GIS-enabled hardware (i.e. mobile phones), has resulted in the continuous creation of massive amounts of user-generated spatial data. This thesis explores how social media data have been utilized in GIS research and provides a commentary on the impacts of this next iteration of technological change with respect to GIScience. First, the roots of GIS technology are traced to set the stage for the examination of social media as a technological catalyst for change in GIScience. Next, a scoping review is conducted to gather and synthesize a summary of methods used to collect, analyze, and visualize this data. Finally, a case study exploring the spatio-temporality of crowdfunding behaviours in Canada during the COVID-19 pandemic is presented to demonstrate the utility of social media data in spatial research.

Document type: 
Thesis
Rights: 
This thesis may be printed or downloaded for non-commercial research and scholarly purposes. Copyright remains with the author.
File(s): 
Supervisor(s): 
Nadine Schuurman
Department: 
Environment: Department of Geography
Thesis type: 
(Thesis) M.Sc.
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