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oai:mountainscholar.org:10217/653252025-12-30T03:35:31Zcom_10217_100532com_10217_100000com_10217_100304com_10217_100303col_10217_100538col_10217_100317

Kasberg, Kevin, author Loomis, John, advisor Koontz, Stephen, committee member Newman, Peter, committee member 2007-01-03T08:06:06Z 2007-01-03T08:06:06Z 2012 Kasberg_colostate_0053N_11053.pdf ETDF2012500055AGRE http://hdl.handle.net/10217/65325 https://doi.org/10.25675/3.018844 The accuracy of visitor use data from the National Visitor Use Monitoring Program (NVUM) allows for testing the relationship between public land visitation and individual site characteristics and facilities. In an attempt to predict visitation on both BLM and USFS lands, forty National Forests in the Western US were chosen for their spatial and landscape resemblance to BLM lands. Using multiple regressions, facility and landscape characteristics have a statistically significant relationship with the four recreation types in NVUM data: Day use developed sites (DUDS), Overnight use developed sites (OUDS), General Forest Area (GFA), and Wilderness. Mean absolute percentage error (MAPE) of prediction calculated using ten out of sample National Forests for Wilderness was lowest at 69%, with OUDS, DUDS and GFA higher at 93%, 103% and 115% respectively. As an alternative method to estimate the predictive power, stepwise procedures were applied to all forty observations. These resulting models were used to construct a spreadsheet calculator that provides an annual visitation prediction for a USFS or BLM land. born digital masters theses English eng Colorado State University. Libraries 2000-2019 Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. BLM visitation estimation recreation national forests An econometric model of determinants of visitor use on western national forests Text Master of Science (M.S.) Masters Agricultural and Resource Economics Colorado State University This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). open.access