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Haydn Lawrence, Colin Robertson, Rob Feick and Trisalyn Nelson
Social media and other forms of volunteered geographic information (VGI) are used frequently as a source of fine-grained big data for research. While employing geographically referenced social media data for a wide array of purposes has become commonplac...
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Avipsa Roy, Trisalyn A. Nelson, A. Stewart Fotheringham and Meghan Winters
Traditional methods of counting bicyclists are resource-intensive and generate data with sparse spatial and temporal detail. Previous research suggests big data from crowdsourced fitness apps offer a new source of bicycling data with high spatial and tem...
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Colin Ferster, Trisalyn Nelson, Karen Laberee, Ward Vanlaar and Meghan Winters
People generate massive volumes of data on the Internet about cities. Researchers may engage these crowds to fill data gaps and better understand and inform planning decisions. Crowdsourced tools for data collection must be supported by outreach; however...
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Michael A. Wulder,Joanne C. White,Danny Grills,Trisalyn Nelson,Nicholas C. Coops,Tim Ebata
In western Canada, the current outbreak of mountain pine beetle (Dendroctonus ponderosae) is of unprecedented proportions. Annual aerial overview surveys (AOS) are the primary means of accounting for the area and severity of mountain pine beetle impacts....
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Trisalyn A. Nelson,Barry Boots,Michael A. Wulder,Allan L. Carroll
A combination of favourable temperatures and abundant host trees has resulted in a mountain pine beetle (Dendroctonus ponderosae Hopkins) epidemic over the majority of the lodgepole pine forests of British Columbia, Canada. Understanding temporal trends ...
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