Clements, A. M. and Jones, M. C.
|DOI (Digital Object Identifier) Link:||http://doi.org/10.1007/BF00045209|
|Google Scholar:||Look up in Google Scholar|
A modern statistical technique for the exploratory analysis of multivariate data, called projection pursuit, is described. The method consists of the extraction and display of informative one- or two-dimensional projections of the multivariate dataset. Projection pursuit has much scope for application to ecological datasets. The example in this paper concerns element concentrations in soil samples from a coastal embayment on the east coast of Australia. The application attempts to search for patterns in the soils which could be related to vegetation patterns. The compositional nature of the dataset adds a novel element to the methodology.
|Item Type:||Journal Article|
|Copyright Holders:||1991 Kluwer Academic Publishers|
|Extra Information:||As from 1997 Vegetatio became Plant Ecology|
|Keywords:||continuous proportions; nonparametric density estimation; multivariate data analysis; fens embayment coastal sand system; soil patterns; vegetation patterns|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Depositing User:||Sarah Frain|
|Date Deposited:||22 Mar 2011 13:07|
|Last Modified:||02 Aug 2016 14:00|
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