@article {Fraser:1977-03-01T00:00:00:0015-749X:111,
author = "Fraser, A. R.",
title = "Triangle Based Probability Polygons for Forest Sampling",
journal = "Forest Science",
volume = "23",
number = "1",
year = "1977-03-01T00:00:00",
abstract = "A practical technique is developed for selecting individual sample-trees with probabilities defined on an area basis. Triangles of the network formed among least diagonal neighbors are partitioned using proportioning functions of tree size and spacing. The partitions associated with an individual tree are grouped to form an abstract or probability polygon. Alternate sets of such polygons which may prove useful in forest sampling are defined in detail, field sampling procedures are sketched, and unbiased estimating equations are given. Preliminary empirical comparisons suggest that samples related to polygons may be more efficient than plot or point samples whenever time consuming volume or growth measures are required, and more efficient than 3P samples when the number of trees in the population is large. Forest Sci. 23:111-121.",
pages = "111-121",
url = "http://www.ingentaconnect.com/content/saf/fs/1977/00000023/00000001/art00019",
keyword = "Least diagonal neighbors"
}