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dc.contributor.authorChen, Yan
dc.date.accessioned2016-12-09T14:50:17Z
dc.date.available2016-12-09T14:50:17Z
dc.date.issued2016-12-09T14:50:17Z
dc.identifier.urihttp://hdl.handle.net/10222/72314
dc.description.abstractHydroelectricity is a ‘special case’ among renewable energies for its maturity, large scale, and extensive landscape impacts. To understand how locals perceive, use, and value the landscape is critical when considering hydro dam proposals. Previous research offers insight into local perspectives but conventional methods (e.g., survey and interview) show gaps in youth participation and engagement in these research activities. To fill this gap, we collect social media data to understand youth perceptions of the landscape. Results show that the most prominent landscape value in the Clean Energy Project (Site C) located in northern British Columbia area is aesthetics which is highly related to the river, riparian land, and mountains. In the Mactaquac dam area of New Brunswick, reservoir-based lifestyle is key to interpreting youth landscape perception. Landscape values are then mapped by kernel density estimation to show the spatial patterns. We find that different landscape values emerge in different places. This demonstrates that the approach of collecting and coding geo-tagged social media data is feasible and effective for landscape research.en_US
dc.language.isoenen_US
dc.subjectSocial Mediaen_US
dc.subjectGeneration Yen_US
dc.subjectHydroelectric Damen_US
dc.subjectInstagramen_US
dc.subjectLandscape Perceptionen_US
dc.subjectLandscape Valuesen_US
dc.subjectSpatial Analysisen_US
dc.subjectGeographic Informationen_US
dc.titleUNDERSTANDING YOUTH LANDSCAPE PERCEPTIONS AND MAPPING LANDSCAPE VALUES VIA SOCIAL MEDIAen_US
dc.typeThesisen_US
dc.date.defence2016-10-21
dc.contributor.departmentSchool for Resource & Environmental Studiesen_US
dc.contributor.degreeMaster of Environmental Studiesen_US
dc.contributor.external-examinerJohn Parkinsen_US
dc.contributor.graduate-coordinatorPeter Tyedmersen_US
dc.contributor.thesis-readerJennifer Grek Martinen_US
dc.contributor.thesis-supervisorKatherine Sherrenen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.manuscriptsYesen_US
dc.contributor.copyright-releaseNot Applicableen_US
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