NDLI: Estimating the Characteristics of a Marked Stand Using k-Nearest-Neighbour Regression

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Estimating the Characteristics of a Marked Stand Using k-Nearest-Neighbour Regression

Content Provider	Semantic Scholar
Author	Pertti, Jussi Len-Mew Sikanen, Lauri
Copyright Year	2001
Abstract	The purpose of this study was to develop the k-J nearest-neighbour method as a wood procurement planning tool. Traditionally, sampling measurement of standing trees has been used to obtain advance information on marked stands. In this study, key figures such as sawtimber/pulpwood ratio in pine and spruce stands, diameter and height distribution in spruce stands, diameter and quality distribution in pine stands, and quality distribution by diameter classes in pine stands were estimated using k-near-l est-neighbour regression. The material consisted of 716 stands. Stands were located in the eastern Finland. Information regarding every stand was collected from the information system of one large Finnish timber-procurement organization. The accuracy of the knearest-neighbour method was compared with the traditional planning inventory method and stand inventory method. The created model was found to be a useful tool in the planning of wood procurement.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://journals.lib.unb.ca/index.php/IJFE/article/download/9962/10192
Alternate Webpage(s)	http://www.lib.unb.ca/Texts/JFE/July99/tommo.pdf
Language	English
Access Restriction	Open
Subject Keyword	Barycentric subdivision Class Diameter (qualifier value) Enterprise resource planning Estimated FRANCIS Forestry Inference Information system K-nearest neighbors algorithm Note (document) PP (complexity) Picea Pinus Procurement Sampling (signal processing) Sampling - Surgical action Trees (plant) saw (device)
Content Type	Text
Resource Type	Article

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