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CO-tucker: a new method for the simultaneous analysis of a sequence of paired tables

机译:CO-tucker:一种同时分析配对表序列的新方法

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摘要

Relationships between species and their environment are a key component to understand ecological communities. Usually, this kind of data are repeated over time or space for communities and their environment, which leads to a sequence of pairs of ecological tables, i.e. multi-way matrices. This work proposes a new method which is a combined approach of STATICO and Tucker3 techniques and deals to the problem of describing not only the stable part of the dynamics of structure-function relationships between communities and their environment (in different locations and/or at different times), but also the interactions and changes associated with the ecosystems' dynamics. At the same time, emphasis is given to the comparison with the STATICO method on the same (real) data set, where advantages and drawbacks are explored and discussed. Thus, this study produces a general methodological framework and develops a new technique to facilitate the use of these practices by researchers. Furthermore, from this first approach with estuarine environmental data one of the major advantages of modeling ecological data sets with the CO-TUCKER model is the gain in interpretability.
机译:物种与其环境之间的关系是了解生态群落的关键组成部分。通常,此类数据会随时间或空间在社区及其环境中重复出现,从而形成一系列成对的生态表,即多向矩阵。这项工作提出了一种新的方法,该方法是STATICO和Tucker3技术的组合方法,不仅解决了描述社区与环境(在不同位置和/或不同位置)之间结构-功能关系动态的稳定部分的问题。时间),以及与生态系统动力学相关的相互作用和变化。同时,重点是在相同(真实)数据集上与STATICO方法进行比较,在其中探讨和讨论了优点和缺点。因此,这项研究产生了一个通用的方法框架,并开发了一种新技术来促进研究人员对这些实践的使用。此外,从使用河口环境数据的第一种方法开始,使用CO-TUCKER模型对生态数据集进行建模的主要优势之一是可解释性的提高。

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