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Error Impact of Regression Models on Forest Road Spacing


Ghaffariyan, MR and Sessions, J, Error Impact of Regression Models on Forest Road Spacing, Silva Balcanica, 1, (12) pp. 97-111. ISSN 1311-8706 (2011) [Non Refereed Article]

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Copyright 2011 Silva Balcanica

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Statistical time prediction models are common in production estimation of different forest machineries. These models are usually developed using multiple regression method. Application of regression method causes considerable errors. In this paper, firstly the confidence interval curves of the parameters used in the yarding and installation time predicting models of tower yarder in Austria are presented.

The second part of this study deals with the effect of the error of regression models on optimal road spacing of tower yarder based on the minimization of total costs of roading, yarding and installation. Finally to choose the best optimal spacing under uncertainty, we used the multiple criteria decision making process considering the criteria like minimum total cost (Euro/m3) as economical criteria, soil erosion, soil compaction in the skid trail, area of constructed roads (m2/ha), reforestation costs and facilitate of silvicutural treatments to the stands.

Item Details

Item Type:Non Refereed Article
Keywords:error, confidence interval, yarding, optimal road spacing, multiple criteria decision making
Research Division:Agricultural, Veterinary and Food Sciences
Research Group:Forestry sciences
Research Field:Forestry biomass and bioproducts
Objective Division:Plant Production and Plant Primary Products
Objective Group:Forestry
Objective Field:Harvesting and transport of forest products
UTAS Author:Ghaffariyan, MR (Dr Mohammad Ghaffariyan)
ID Code:77133
Year Published:2011
Deposited By:Architecture
Deposited On:2012-03-19
Last Modified:2014-08-27

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