Optimizing the choice of a spatial weighting matrix in eigenvector-based methods.

Bauman, David; Drouet, Thomas; Fortin, Marie-Josée; Dray, Stéphane

Bauman, David; Drouet, Thomas; Fortin, Marie-Josée; Dray, Stéphane.

Afiliação

Bauman D; Laboratoire d'Écologie Végétale et Biogéochimie, Université Libre de Bruxelles, CP 244, 50 av. F. D. Roosevelt, Brussels, 1050, Belgium.
Drouet T; Laboratoire d'Écologie Végétale et Biogéochimie, Université Libre de Bruxelles, CP 244, 50 av. F. D. Roosevelt, Brussels, 1050, Belgium.
Fortin MJ; Department of Ecology & Evolutionary Biology, University of Toronto, 25 Willcocks, Toronto, Ontario, M5S 3B2, Canada.
Dray S; Laboratoire de Biométrie et Biologie Evolutive, CNRS, Université Lyon, Université Claude Bernard Lyon 1, Villeurbanne, F-69100, France.

Ecology ; 99(10): 2159-2166, 2018 10.

Article em En | MEDLINE | ID: mdl-30039615

Assuntos

Ecologia; Modelos Teóricos; Software

Palavras-chave

Moran's eigenvector maps (MEM); community ecology; community simulation; connection scheme; inference of ecological processes from spatial patterns; multiscale spatial patterns; optimization; principal coordinates of neighbor matrices (PCNM); spatial autocorrelation; spatial eigenvector mapping (SEVM); spatial weighting matrix; type I error rate inflation

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecologia / Modelos Teóricos Tipo de estudo: Prognostic_studies Idioma: En Revista: Ecology Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Bélgica

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