Point-Sampling and Line-Sampling

Point-Sampling and Line-Sampling Probability Theory, Geometric Implications, Synthesis (Classic Reprint)

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Publisher's Synopsis

Excerpt from Point-Sampling and Line-Sampling: Probability Theory, Geometric Implications, Synthesis

Ring radius will be a gauge-determined constant (k) multiplied by tree radius if a horizontal gauge is used, or it will be a gauge-determined constant (q) multiplied by tree height if a vertical gauge is used. Laying out these imaginary rings on the ground with an angle-gauge (as in fig. 13 and 2b) is not necessary, however, since the vertex of the angle-gauge at the sample point is known to be inside the ring when ever the tree diameter or height appears larger than the gauge, and outside whenever it appears smaller. Hence, an angle-gauge with its vertex at a sample point can be used to identify all sample trees within whose rings the sample point lies. As can be seen from figures 1b and 2b, trees of different sizes have different chances of having a sampling point fall within their rings. With the horizontal gauge, the probability is proportional to the square of d. B. H. (i.e. To tree basal area); with the vertical gauge, to the square of tree height.

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Book information

ISBN: 9780265824924
Publisher: Fb&c Ltd
Imprint: Forgotten Books
Pub date:
Number of pages: 44
Weight: -1g
Height: 10mm
Width: 6mm
Spine width: 1mm