“Total-Balancing” an inventory: A method for unbiased inventories using highly biased non-sample data at variable scales

Autori

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

Parole chiave:

Unbiased methods, total-balancing, data adjustment, forest inventory, sampling methods

Abstract

I describe here a method that can provide unbiased estimates and sampling errors with increasingly precise polygon information from non-sample sources that are often free and readily available. This method is extremely flexible, and it appears to be in line with the main trend of modern sampling – you first estimate using any information available, and then you sample to adjust those estimates. At later dates, further readjustment can be done at will, as long as the total is held constant.

Biografia autore

  • 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.

Riferimenti bibliografici

BC Ministry of Forests VIWG. 1992. Report of the timber inventory task force on the current timber inventory with recommendations for the future. Pp. 111. http://ilmbwww.gov.bc.ca/risc/o_docs/teveg/pni/viwg_rpt-08.htm

BC Ministry of Forests VIWG. 1995. Final Report from the Vegetation Inventory Working Group on a Proposed New Inventory. Pp. 101. http://ilmbwww.gov.bc.ca/risc/o_docs/teveg/pni/viwg_rpt-08.htm

Cieszewski, C.J., K. Iles, R.C. Lowe, and M.J. Zasada. 2005. Proof of concept for an approach to a finer resolution inventory. Page 69-74. In R. E. McRoberts, G. A. Reams, P. C. Van Deusen, and W. H. McWilliams. Proceedings of the Fifth Annual Forest Inventory and Analysis Symposium. November 18-20, 2003, New Orleans, LA. Gen. Tech. Rep. WO-69. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station.

Iles, K. 1994. Some Directions for Forest Inventory. Journal of Forestry. Invited lead article for the special edition on Forest Inventory.

Iles, K. 1998. Some Practical Aspects of Designing a Large Inventory. International meeting on Forest Inventory, Boise, Idaho.

Iles, K. 2003. A Sampler of Inventory Topics. Second print, ISBN 097321980-7.

International Journal of Mathematical and Computational Forstry and Natural-Resource Sciences

Dowloads

Pubblicato

2009-02-02

Fascicolo

V. 1 N. 1: MCFNS February 28, 2009

Sezione

Sampling and Natural Resource Inventories

Licenza

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Come citare

“Total-Balancing” an inventory: A method for unbiased inventories using highly biased non-sample data at variable scales. (2009). Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS), 1(1), Pages: 10-13 (4). https://www.tmp.17921125833755a190e36a5857.temporary.link/index.php/Journal/article/view/MCFNS.1-10

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