Species distribution models : Spatial autocorrelation and non-stationarity

Auteur(s) et Affiliation(s)

Univ. of Texas, Austin, Etats-Unis

Description :
When standard statistical methods such as regression are used to formulate species distribution models, assumptions about the spatial structure of the data and the model parameters are often violated. Autocorrelation and non-stationarity are characteristics of spatial data and models, respectively, and if present and unaccounted for in model development, they can result in poorly specified models as well as inappropriate spatial inference and prediction. While these spatial issues are addressed here in an ecological context using species distribution models, they are broadly relevant to any statistical modeling applications using spatial data.

Type de document :
Article de périodique

Source :
Progress in physical geography, issn : 0309-1333, 2012, vol. 36, n°. 5, p. 681-692, nombre de pages : 12, Références bibliographiques : 3 p.

Date :

Editeur :
Pays édition : Royaume-Uni, London, Sage Publications

Langue :
Droits :
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