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The application of statistics and computing in wood anatomy

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New Perspectives in Wood Anatomy

Part of the book series: Forestry Sciences ((FOSC,volume 1))

Summary

In published anatomical research up to the 1960 decade there has been little application of statistical method other than presentation of mean values. With the recent expansion of statistical teaching and the wider availability of computers, statistical treatment of anatomical data should increase. This paper presents a checklist of univariate and multivariate statistical techniques relevant to identifying and characterising sources and patterns of variation of anatomical features within and between trees and geographic locations. Non-statistical applications of computers are described including the curatorial management of wood collections (xylaria) and the identification of wood samples. Attention is drawn to the IAWA ‘Standard list of characters suitable for computerized hardwood identification’.

This paper is a much enlarged version of a chapter in the second edition of ‘Anatomy of the Dicotyledons’ (Metcalfe and Chalk, 1982).

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Authors and Affiliations

  1. Department of Agricultural and Forest Sciences, Commonwealth Forestry Institute, Oxford University, South Parks Road, Oxford, England

    J. Burley & R. B. Miller

  2. Center for Wood Anatomy Research, Forest Products Laboratory, U.S.D.A. Forest Service, Madison, Wisconsin, 53705, USA

    J. Burley & R. B. Miller

Authors
  1. J. Burley
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  2. R. B. Miller
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Editors and Affiliations

  1. Rijksherbarium, Leiden, The Netherlands

    P. Baas

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© 1982 Springer Science+Business Media Dordrecht

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Burley, J., Miller, R.B. (1982). The application of statistics and computing in wood anatomy. In: Baas, P. (eds) New Perspectives in Wood Anatomy. Forestry Sciences, vol 1. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-2418-0_9

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  • DOI: https://doi.org/10.1007/978-94-017-2418-0_9

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-8269-5

  • Online ISBN: 978-94-017-2418-0

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