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Clements, A. M. and Jones, M. C.
(1991).
DOI: https://doi.org/10.1007/BF00045209
URL: http://www.springerlink.com/content/g46v3801114t17...
Abstract
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.
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About
- Item ORO ID
- 28302
- Item Type
- Journal Item
- ISSN
- 0042-3106
- 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 or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Copyright Holders
- © 1991 Kluwer Academic Publishers
- Depositing User
- Sarah Frain