دورية أكاديمية

Much beyond Mantel: bringing Procrustes association metric to the plant and soil ecologist's toolbox.

التفاصيل البيبلوغرافية
العنوان: Much beyond Mantel: bringing Procrustes association metric to the plant and soil ecologist's toolbox.
المؤلفون: Francy Junio Gonçalves Lisboa, Pedro R Peres-Neto, Guilherme Montandon Chaer, Ederson da Conceição Jesus, Ruth Joy Mitchell, Stephen James Chapman, Ricardo Luis Louro Berbara
المصدر: PLoS ONE, Vol 9, Iss 6, p e101238 (2014)
بيانات النشر: Public Library of Science (PLoS), 2014.
سنة النشر: 2014
المجموعة: LCC:Medicine
LCC:Science
مصطلحات موضوعية: Medicine, Science
الوصف: The correlation of multivariate data is a common task in investigations of soil biology and in ecology in general. Procrustes analysis and the Mantel test are two approaches that often meet this objective and are considered analogous in many situations especially when used as a statistical test to assess the statistical significance between multivariate data tables. Here we call the attention of ecologists to the advantages of a less familiar application of the Procrustean framework, namely the Procrustean association metric (a vector of Procrustean residuals). These residuals represent differences in fit between multivariate data tables regarding homologous observations (e.g., sampling sites) that can be used to estimate local levels of association (e.g., some groups of sites are more similar in their association between biotic and environmental features than other groups of sites). Given that in the Mantel framework, multivariate information is translated into a pairwise distance matrix, we lose the ability to contrast homologous data points across dimensions and data matrices after their fit. In this paper, we attempt to familiarize ecologists with the benefits of using these Procrustean residual differences to further gain insights about the processes underlying the association among multivariate data tables using real and hypothetical examples.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1932-6203
Relation: https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24971901/?tool=EBI; https://doaj.org/toc/1932-6203
DOI: 10.1371/journal.pone.0101238
URL الوصول: https://doaj.org/article/45010c4c75a846569d7a289696e88e54
رقم الأكسشن: edsdoj.45010c4c75a846569d7a289696e88e54
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19326203
DOI:10.1371/journal.pone.0101238