Some Current Subsampling Techniques in Forestry

著者

  • Kim Iles Kim Iles & Associates, Nanaimo, B.C., Canada

キーワード:

Variable plot sampling、 angle sampling、 point sampling、 VBAR、 Big BAF、 multi-point sampling

要旨

Because different tree parameters are of differing importance, and have different variability, efficiency in sampling would suggest that some of the principle variables be subsampled. One convenient way to do this is to sample different numbers of items at the same sample locations. This paper is a review of some current techniques in subsampling for measured values, especially with Variable Plot sampling, but including Fixed Plot and 3P sampling as well.

著者略歴

  • Kim Iles、 Kim Iles & Associates, Nanaimo, B.C., Canada
    Kim Iles is an expert in sampling and forest inventory and inventor of many new statistical estimators. He got his B.S. in Forest Management and M.Sc. in Forest Biometrics, from Oregon State University, and Ph.D. Forest Biometrics, from University of British Columbia in 1979. He was the Biometrician and Head of Growth and Yield Dept., MacMillan Bloedel Ltd., Nanaimo, B.C. for 12 years until 1991 and a consultant since then. He is the author of a textbook on Forest Inventory (now in second printing), and he was the principle inventory design consultant for the British Columbia Provincial Inventory design (this inventory covered an area of 100,000,000 hectares). Kim's specialties of Variable Plot Sampling and 3P sampling are the dominant inventory systems used in the North America. He has taught inventory techniques to several thousand professional cruisers on 3 continents, and is the major contributor to the Cruising and Inventory Newsletter published by John Bell Associates. He has been a member of several committees of national standing, and has developed and introduced a number of innovations in cruising systems in North America. /p

参考文献

Bell, J.F., K. Iles, D. Marshall. 1983, Balancing the Ratio of Tree Count Only sample points and VBAR Measurements in Variable Plot Sampling. Proceedings: Renewable Resource Inventories for Monitoring Changes and Trends. Corvallis, Oregon.

Bitterlich, W. 1947. The angle count method. Allgemeine Forst und Jagdzeitung 58:94-96.

Ducey, M.J., J.H. Gove, T.H. Valentine. 2004. A walkthrough solution to the boundary overlap problem. Forest Science. 50(4): 427-435.

Flewelling, J.W., J.L. Strunk. 2012. The Walk Through and Fro Estimator for Edge Bias Avoidance. Forest Science. http://dx.doi.org/10.5849/forsci.10-135. (In Press). Published online on Apr. 26, 2012.

Goodman, L.A. 1960. On the Exact Variance of Products. Journal of the American Statistical Association. 55(292), pp. 708-713.

Grosenbaugh, L.R. 1952. Plotless Timber Estimates – New, Fast, Easy. Journal of Forestry, 50(1), pp. 32-37.

Hansen, M.M., W.N. Hurwitz. 1943. On the theory of sampling from finite populations. Annals of Mathematical Statistics. 14:333-362.

Husch, B., C. Miller, T. Beers. 1982. Forest Inventory, John Wiley and Sons, Third Edition. New York, NY. 402 p.

Iles, K. 1979. Some Techniques to Generalize the use of Variable Plot and Line Intersect Sampling. Forest Resource Inventories Workshop, Colorado State University.

Iles, K. 2003. A Sampler of Inventory Topics. Kim Iles & Associates Ltd. ISBN 0-9732198-0-7, pp. 869.

ダウンロード

発行日

2012-09-30

巻号

巻 4 号 2: MCFNS September 30, 2012

セクション

Sampling and Natural Resource Inventories

ライセンス

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引用方法

Some Current Subsampling Techniques in Forestry. (2012). Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS), 4(2), Pages: 77-80 (4). https://tmp.mcfns.com/index.php/Journal/article/view/143

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