Use of spatial factors in the analysis of heavy metals in sediments in a Brazilian coastal region

Environmental phenomena often generate complex data which are not only multivariate, but where spatial structure and dependency may also be important. One potential area of interest is that of identifying combinations of variables which exhibit distinctive spatial structure in a set of multivariate...

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Veröffentlicht in:	Environmetrics (London, Ont.) Ont.), 2005-09, Vol.16 (6), p.563-572
Hauptverfasser:	Bailey, T. C., Barcellos, C., Krzanowski, W. J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Animal, plant and microbial ecology Biological and medical sciences Earth sciences Earth, ocean, space Engineering and environment geology. Geothermics environmental statistics Exact sciences and technology Fundamental and applied biological sciences. Psychology General aspects. Techniques heavy metals Methods and techniques (sampling, tagging, trapping, modelling...) multivariate spatial analysis Pollution, environment geology spatial factors
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