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A Walkthrough Solution to the Boundary Overlap Problem

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Existing methods for eliminating bias due to boundary overlap suffer some disadvantages in practical use, including the need to work outside the tract, restrictions on the kinds of boundaries to which they are applicable, and the possibility of significantly increased variance as a price for unbiasedness. We propose a new walkthrough method for reducing boundary overlap bias that diminishes or eliminates the need to work outside the tract and accommodates irregular boundaries easily. Under typical conditions, the walkthrough method eliminates the boundary overlap bias associated with most objects near the border and reduces it for the remaining objects. The walkthrough method is object-centered in conception and implementation, but the measurements required are simple. The walkthrough method complements existing methods for correcting boundary overlap bias and should prove especially helpful when conditions make existing methods difficult or impossible to use. FOR. SCI. 50(4):427–435.

Keywords: Forest sampling; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; mirage; natural resource management; natural resources; prism cruising; reflection; relascope

Document Type: Regular Article

Affiliations: 1: Associate Professor of Forest Biometrics Department of Natural Resources University of New Hampshire Durham NH 03824 Phone: (603) 862-4429;, Fax: (603) 862-4976, Email: 2: Research Forester Northeastern Research Station USDA Forest Service PO Box 640 Durham NH 03824 Phone: (603) 868-7667, Email: 3: Research Forester Northeastern Research Station USDA Forest Service PO Box 640 Durham NH 03824 Phone: (603) 868-7671, Email:

Publication date: 2004-08-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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