Multivariate varying-coefficient models for an ecological system

Ferguson, C.A.; Bowman, A.W.; Scott, E.M.; Carvalho, L.. 2009 Multivariate varying-coefficient models for an ecological system. Environmetrics, 20 (4). 460-476. https://doi.org/10.1002/env.945

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Abstract/Summary

The monitoring of Loch Leven at Kinross in Scotland involves many physical, chemical and biological variables, which are interrelated and consequently are potentially both responses and covariates within the system. In order to explore relationships fully and make appropriate inferences about such a system, it is necessary to identify and incorporate all the important forms of dependence. Therefore, multivariate models are required to model multiple responses and covariates. Relationships between variables at Loch Leven also change throughout the year and hence a multivariate varying-coefficient model is presented here to explore changing relationships, whilst accounting for dependence between responses. Copyright © 2008 John Wiley & Sons, Ltd.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1002/env.945
Programmes:	CEH Topics & Objectives 2009 - 2012 > Water > WA Topic 2 - Ecohydrological Processes > WA - 2.3 - Assess the responses of river, lake and wetland ecosystems to ecohydrological drivers
UKCEH and CEH Sections/Science Areas:	Watt
ISSN:	1180-4009
Additional Keywords:	Loch Leven, lake, ecosystem, multivariate, VAR(1), varying-coefficient model
NORA Subject Terms:	Ecology and Environment Mathematics
Related URLs:	Author's Homepage
Date made live:	06 Oct 2009 12:56 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/7337

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