Traditional multivariate spatial analyses fall short in the presence of non-Gaussian data, as in many ecological studies where abundance count measurements are available. For the analysis of this kind of data we propose a novel hierarchical multivariate spatial factor model assuming a Poisson distribution for the observed measurements. The flexibility of the model is shown on a spatial multivariate data set containing zooplankton count measurements from Lake Trasimeno (Umbria, Italy).
Multivariate spatial analysis of plankton count data from Lake Trasimeno (Italy)
MINOZZO, Marco;
2003-01-01
Abstract
Traditional multivariate spatial analyses fall short in the presence of non-Gaussian data, as in many ecological studies where abundance count measurements are available. For the analysis of this kind of data we propose a novel hierarchical multivariate spatial factor model assuming a Poisson distribution for the observed measurements. The flexibility of the model is shown on a spatial multivariate data set containing zooplankton count measurements from Lake Trasimeno (Umbria, Italy).
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