Voronoi polygons quantify bias when sampling the nearest plant

作者: Thomas B. Lynch

DOI: 10.1139/CJFR-2015-0238

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摘要: The design bias in the sample mean obtained from sampling trees nearest to points randomly and uniformly distributed over a forested area can be exactly quantified terms of Voronoi polygons (V polygons) surrounding each tree forest interest. For this method, V polygon for prospective is its inclusion zone. sides such are perpendicular line joining adjacent equidistant these trees. any individual attribute Y, estimating population Y will equal covariance between V-polygon divided by area. as percent product correlation coefficient coefficients variation multiplied 100. This implies that attempts estimate means commonly measured variables DBH, basal area, crown diameter or samp...

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