Skip to Main Content
U.S. Forest Service
Caring for the land and serving people

United States Department of Agriculture

Home > Search > Publication Information

  1. Share via EmailShare on FacebookShare on LinkedInShare on Twitter
    Dislike this pubLike this pub
    Author(s): José J. Sánchez; Kenneth Baerenklau; Armando Gonzalez-Caban
    Date: 2020
    Source: Journal of Forest Economics
    Publication Series: Scientific Journal (JRNL)
    Station: Pacific Southwest Research Station
    PDF: Download Publication  (3.0 MB)


    This study uses individual survey data to investigate the impact of information about hiking destinations on estimated wilderness values in a spatial context. The data is derived from a revealed preference survey of backcountry visitors who responded to questions about their recreation behavior in the San Jacinto Wilderness of southern California. Two GIS data layers are developed showing spatial representations of non-market values derived from a Kuhn- Tucker demand model, with and without destination information. Each pixel in each data layer contains an estimate of the recreation value at that location. The destination data provides more detailed information on recreation behavior that can be used to more accurately allocate the landscape values. Results show that including destination information produces significantly greater heterogeneity in parcel value estimates for large areas of the wilderness.

    Publication Notes

    • You may send email to to request a hard copy of this publication.
    • (Please specify exactly which publication you are requesting and your mailing address.)
    • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.


    Sánchez, José J.; Baerenklau, Kenneth; Gonzalez-Caban, Armando. 2020. How sensitive are spatial estimates of wilderness recreation values to information about hiking destinations? Journal of Forest Economics. 35(1): 19-41.


    Google Scholar


    GIS, Kuhn-Tucker demand system model, Nonmarket valuation, Web-based survey, Viewshed analysis

    Related Search

    XML: View XML
Show More
Show Fewer
Jump to Top of Page