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NUMERICAL ANALYSIS OF VOLATILE OIL DATA IN SYSTEMATIC STUDIES OF AUSTRALIAN RAINFOREST TREES
Author(s) -
Whiffin Trevor
Publication year - 1982
Publication title -
taxon
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.819
H-Index - 81
eISSN - 1996-8175
pISSN - 0040-0262
DOI - 10.2307/1219984
Subject(s) - weighting , euclidean distance , metric (unit) , mathematics , statistics , inverse distance weighting , range (aeronautics) , distance measures , distance matrices in phylogeny , euclidean geometry , computer science , artificial intelligence , combinatorics , engineering , geometry , medicine , operations management , multivariate interpolation , bilinear interpolation , radiology , aerospace engineering
Summary Preparatory to the use of volatile oils in systematic studies of Australian rainforest trees, a number of different techniques for handling volatile oil data are reviewed. Compared are two different schemes of character weighting (unweighted and F‐weighted), three different schemes of standardisation (unstandardised, standardisation by range, standardisation by standard deviation), and three different distance measures (Squared Euclidean Distance, Euclidean Distance, Manhattan Metric distance). It is determined empirically that, for volatile oil data, where weighting is both possible and valid, a combination of standardisation and weighting proves most effective; on the other hand, if weighting is not possible, standardisation should not be undertaken. Euclidean Distance and Manhattan Metric distance prove to be the best distance measures.