Analyzing spatial autocorrelation in species distributions using Gaussian and logit models

Ecological Modelling

Volumn 207, Issue 2-4, 2007, Pages 159-170

  Carl, G ^a,b   Kuhn I ^a,b  

^a HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

^b Virtual Institute Macroecology   (Germany)

Author keywords

Clustered binary data; Generalized estimating equations; Logistic regression; Macroecological method; Moran's I; Spatial autocorrelation

Indexed keywords

AUTOCORRELATION; COMPUTER SIMULATION; DATA REDUCTION; ECOLOGY; GAUSSIAN DISTRIBUTION; PLANTS (BOTANY);

AUTOREGRESSIVE ERROR MODEL (SSAEM); CLUSTERED BINARY DATA; GENERALIZED ESTIMATING EQUATIONS (GEE); MACROECOLOGICAL METHOD; SPATIAL AUTOCORRELATION;

BIODIVERSITY;

AUTOCORRELATION; CLUSTER ANALYSIS; GAUSSIAN METHOD; HERB; LOGIT ANALYSIS; MACROECOLOGY; SPATIAL DISTRIBUTION; SPECIES RICHNESS;

CENTRAL EUROPE; EURASIA; EUROPE; GERMANY;

HYDROCOTYLE VULGARIS;

EID: 34548407838     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2007.04.024     Document Type: Article

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