نتایج جستجو برای: generalized dissimilarity index

تعداد نتایج: 560217  

Journal: :Diversity 2023

Community phylogenetic structure and diversity analysis are useful complements to species-centric approaches in biodiversity studies by providing new insights into the processes that drive community assembly. In this study, we aimed understand differences relative importance of abiotic filtering, biotic interactions, dispersal limitation on assembly trees at different vegetation growth stages. ...

Journal: :Global Ecology and Biogeography 2022

Aim Generalized dissimilarity modelling (GDM) is a powerful and unique method for characterizing predicting beta diversity, the change in biodiversity over space, time environmental gradients. The number of studies applying GDM expanding, with increasing recognition its value improving our understanding drivers patterns implementing wide variety spatial assessments relevant to conservation. How...

1999
Anja Kurki

This paper provides a preliminary analysis of the importance of metropolitan area government structure on socioeconomic inequality in approximately 70 metropolitan areas in the United States. This study particularly focuses on meaningful classification of metropolitan areas according to their government structure and its possible relationship to measures of inequality, such as the Gini coeffici...

Journal: :JASIST 2003
Leo Egghe Ronald Rousseau

A generalization of both the Botafogo-Rivlin-Shneiderman compactness measure and the Wiener index is presented. These new measures for the cohesion of networks can be used in case a dissimilarity value is given between nodes in a network or a graph. It is illustrated how a set of weights between connected nodes can be transformed into a set of dissimilarity measures for all nodes. The new compa...

2001
Song S. Qian Ryan King Curtis J. Richardson

A nonparametric method and a Bayesian hierarchical modelling method are proposed in this paper for the detection of environmental thresholds. The nonparametric method is based on the reduction of deviance, while the Bayesian method is based on the change in the response variable distribution parameters. Both methods are tested using macroinvertebrate composition data from a mesocosm experiment ...

Journal: :Sociological Methods & Research 1977

Journal: :Journal of Computational and Applied Mathematics 2016

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