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.
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Affleck, D., Gregoire, T. & Valentine, H. Design unbiased estimation in line intersect sampling using segmented transects. Environ Ecol Stat 12, 139–154 (2005). https://doi.org/10.1007/s10651-005-1038-1
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DOI: https://doi.org/10.1007/s10651-005-1038-1