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Corrections for Cluster-Plot SlopAuthor(s): Harry T. Valentine; Mark J. Ducey; Jeffery H. Gove; Adrian Lanz; David L.R. Affleck
Source: Forest Science 52(1):55-66
Publication Series: Scientific Journal (JRNL)
Station: Northeastern Research Station
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DescriptionCluster-plot designs, including the design used by the Forest Inventory and Analysis program of the USDA Forest Service (FIA), are attended by a complicated boundary slopover problem. Slopover occurs where inclusion zones of objects of interest cross the boundary of the area of interest. The dispersed nature of inclusion zones that arise from the use of cluster plots precludes the use of most of the slopover-correction methods that apply to solitary plots. One exception is the walkthrough method, which corrects for slopover bias in radially symmetric cluster-plot designs. In this article, we provide a modification of the walkthrough method, the "walkabout method," which is applicable to some asymmetric cluster-plot designs, such as the one used by FIA. We also present two general correction methods, the "vectorwalk method" and the "reflection method," both of which are applicable to cluster-plot designs with satellite subplots arranged in a regular or irregular pattern. The reflection method has two sets of protocols, one that applies to radially symmetric designs and to asymmetric designs with random orientation; the other set applies to asymmetric designs with fixed orientation. Both the vectorwalk and reflection methods incorporate the walkthrough method on a subplot-by-subplot basis. All four methods correct for slopover bias for straight or curved boundaries, and where work outside the tract is impossible.
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CitationValentine, Harry T.; Ducey, Mark J.; Gove, Jeffery H.; Lanz, Adrian; Affleck, David L.R. 2006. Corrections for Cluster-Plot Slop. Forest Science 52(1):55-66
KeywordsBoundary overlap, edge effect, Monte Carlo integration, reflection method, slopover, vectorwalk method, walkabout method, walkthrough method
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