Index Catalog // ScholarsArchive@OSU

Creator:: Weems, Candice Michelle
Abstract:: This dissertation examines the spatial distribution of park access by type in relation to trajectories of gentrification in Seattle from 1990 to 2010. The dissertation includes 5 Chapters. The first chapter provides an overview of the literature that motivated this research. The second, third and fourth chapters are research papers...
Resource Type:: Dissertation
Full Text:: : Examining the Spatial Distribution of Park Access and Trajectories of Gentrification in Seattle

Creator:: Little, Christopher M.
Abstract:: Voluntary environmental programs (VEPs) have been created to encourage companies to engage in behaviors that mitigate environmental impacts (e.g., recycling, emissions reduction). Many ski areas participate in the Sustainable Slopes Program, an initiative that promotes VEPs in the ski area industry. Past research has addressed the performance of VEPs in...
Resource Type:: Masters Thesis
Full Text:: Sustainable Slopes Charter in partnership with the U.S. Environmental Protection Agency, U.S. Forest Service

Creator:: Moehrke, Caitlin
Abstract:: The current thesis presents contingent valuation research incorporating social psychological measures that investigates recreationists' willingness to pay recreation access fees at McDonald-Dunn Forest, Oregon. Context is provided through an extensive literature review of recreation fee management, issues and concerns related to recreation fees, recreationists' attitudes toward fees, relevant social psychological...
Resource Type:: Masters Thesis
Full Text:: U.S. National Park Service has endured similar circumstances, as it has traditionally relied almost

Creator:: Morét, Stephanie L.
Abstract:: Natural resource data are typically non-linear and complex, yet modeling methods often utilize statistical analysis techniques, such as regression, that are insufficient for use on such data. This research proposes an innovative modeling method based on pattern recognition techniques borrowed from the field of machine learning. These techniques make no...
Resource Type:: Dissertation
Full Text:: , Mount (UCD), Rosenfeld, Singer (UCD), Swanson, Urquhart, and Winner. My PhD committee was wonderful

ScholarsArchive@OSU