Design unbiased estimation in line intersect sampling using segmented transects

David L.R. Affleck, Timothy G. Gregoire, Harry T. Valentine

    Research output: Contribution to journalArticlepeer-review

    Abstract

    In many applications of line intersect sampling, transects consist of multiple, connected segments in a prescribed configuration. The relationship between the transect configuration and the selection probability of a population element is illustrated and a consistent sampling protocol, applicable to populations composed of arbitrarily shaped elements, is proposed. It is shown that this protocol obviates the arbitrary practice of treating multiple intersections of a single particle as independent probabilistic events and preserves the design-unbiasedness of Kaiser's (1983, Biometrics 39, 965-976) conditional and unconditional estimators, suitably generalized to segmented transect designs. The relative efficiency and utility of segmented transect designs are also discussed from a fixed population perspective.

    Original languageEnglish
    Pages (from-to)139-154
    Number of pages16
    JournalEnvironmental and Ecological Statistics
    Volume12
    Issue number2
    DOIs
    StatePublished - Jun 2005

    Keywords

    • Coarse woody debris
    • Design-unbiasedness
    • Multiple intersections
    • Transect configuration

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