Abstract
The plot design known as
k-tree sampling involves taking the
k nearest trees from a selected sample point as sample trees. While this plot design is very practical and easily applied in the field for moderate values of
k, unbiased estimation remains a problem. In this article, we give a brief introduction to the history of distance-based techniques in forest inventory sampling, present a new and simple approximation technique for estimation, and describe how to eventually develop a design-unbiased estimator. This article draws on two manuscripts that were recently published (Kleinn and Vilcko 2006a, Kleinn and Vilcko 2006b), in which more details are elaborated.
Parent Publication
Citation
Kleinn, Christoph; Vilcko, Frantisek. 2007. On estimation in
k-tree sampling. In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C.; McWilliams, William H., eds. Proceedings of the seventh annual forest inventory and analysis symposium; October 3-6, 2005; Portland, ME. Gen. Tech. Rep. WO-77. Washington, DC: U.S. Department of Agriculture, Forest Service: 203-208.