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Macroecologia de carnívoros do Novo Mundo (Mammalia): envelopes de restrição e análise de padrões filogenéticos Iheringia, Sér. Zool.
Tôrres,Natália M.; Diniz-Filho,José Alexandre F..
The relationship between body size and geographic range was analyzed for 70 species of terrestrial Carnivora ("fissipeds") of the New World, after the control of phylogenetic patterns in the data using phylogenetic eigenvector regression. The analysis from EcoSim software showed that the variables are related as a triangular envelope. Phylogenetic patterns in data were detected by means of phylogenetic correlograms, and 200 simulations of the phenotypic evolution were also performed over the phylogeny. For body size, the simulations suggested a non-linear relationship for the evolution of this character along the phylogeny. For geographic range size, the correlogram showed no phylogenetic patterns. A phylogenetic eigenvector regression was performed on...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Macroecology; Phylogenetic correlograms; Eigenvectors; Inertia.
Ano: 2004 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0073-47212004000200007
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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
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