Accounting for the influence of geographic location and spatial autocorrelation in environmental models: A comparative analysis using North American songbirds

Journal of Environmental Informatics

Volumn 13, Issue 1, 2009, Pages 12-32

  Lieske, D J ^a   Bender, D J ^b  

^a MOUNT ALLISON UNIVERSITY   (Canada)

^b UNIVERSITY OF CALGARY   (Canada)

Author keywords

Autologistic regression; Birds; Generalized estimating equation; Geographically weighted regression; Modeling; Non stationarity; Predictive accuracy; Spatial autocorrelation; Species distribution

Indexed keywords

AUTOCORRELATION; BREEDING; CLIMATE; ENVIRONMENTAL CONDITIONS; ENVIRONMENTAL FACTOR; ENVIRONMENTAL MODELING; INTRASPECIFIC INTERACTION; LAND COVER; NUMERICAL METHOD; NUMERICAL MODEL; POPULATION DISTRIBUTION; REGRESSION ANALYSIS; RESOURCE SELECTION; SONGBIRD;

AVES; CARPODACUS; CORVUS BRACHYRHYNCHOS; PASSERI;

EID: 62249083190     PISSN: 17262135     EISSN: 16848799     Source Type: Journal    
DOI: 10.3808/jei.200900137     Document Type: Article

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