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	Provedor de dados AgEcon (1) ArchiMer (1) Autor Beliaeff, Benoit (1) Belin, Catherine (1) Durbec, Jp (1) Fenty, Justin (1) Gailhard, Isabelle (1) Gros, Philippe (1) Lassus, Patrick (1) Nezan, Elisabeth (1) Mais... Palavra-chave Multidimensional scaling (2) Analysis of distance (1) Contrasts (1) Eigenvectors (1) Euclidean distance (1) French coast (1) Geographical structure (1) Gower's general coefficient of similarity (1) Idempotent matrices (1) MANOVA (1) Microphytoplankton (1) Multivariate data (1) Partitioning of squared distance (1) Principal coordinate analysis (1) RV coefficient (1) Randomization tests (1) Research Methods/ Statistical Methods (1) Temporal variability (1) Mais... Tipo do documento Journal Article (1) Text (1) Ano 2004 (1) 2002 (1) País France (1) United States (1) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Variability patterns of microphytoplankton communities along the French coasts ArchiMer Gailhard, Isabelle; Gros, Philippe; Durbec, Jp; Beliaeff, Benoit; Belin, Catherine; Nezan, Elisabeth; Lassus, Patrick. Microalgal populations along French coasts (English Channel, Bay of Biscay and Mediterranean Sea) have been sampled twice a month since 1987 within the context of the French Phytoplankton and Phycotoxin Monitoring Network (REPHY). This study used these data to characterize the large-scale geographical structures of microphytoplankton communities and to determine whether 'homogeneous' geographical areas exist in which microalgal populations display similar temporal variability schemes. Once the temporal variability component shared by all sampled coastal sites was identified, the 'residual' site-specific component was analyzed. Multivariate ordination methods were used to determine seasonal and inter-annual variability. The expected-temporal pattern common... Tipo: Text Palavras-chave: Microphytoplankton; French coast; Geographical structure; Temporal variability; RV coefficient; Multidimensional scaling. Ano: 2002 URL: http://archimer.ifremer.fr/doc/00000/10033/7596.pdf Analyzing distances AgEcon Fenty, Justin. Gower and Krzanowski (1999) described the analysis of a multivariate dataset that violated the assumptions of normality for multivariate analysis of variance. They developed a method comprising two aspects: a graphical representation of the points in a fewer number of dimensions, known as principal coordinate analysis; and a technique similar to MANOVA except that it was based on partitioning the distances between subjects, rather than sums of squares, and did not assume that the data followed any particular distribution. This article summarizes both aspects of their analysis and describes the Stata pco and aod commands, which perform principal coordinate analysis and analysis of distance. Tipo: Journal Article Palavras-chave: Multivariate data; Principal coordinate analysis; Multidimensional scaling; Euclidean distance; Gower's general coefficient of similarity; Eigenvectors; Analysis of distance; MANOVA; Partitioning of squared distance; Randomization tests; Contrasts; Idempotent matrices; Research Methods/ Statistical Methods. Ano: 2004 URL: http://purl.umn.edu/116209 Registros recuperados: 2 Primeira ... 1 ... Última

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