(Article of periodic en Anglais - 2012)

Document title

Species distribution models : Spatial autocorrelation and non-stationarity

Authors(s) and Affiliation(s)

MILLER J.A. (1) ;
(1) Univ. of Texas, Austin, ETATS-UNIS


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


Article of periodic

published at : Progress in physical geography / ISSN 0309-1333 / CODEN PPGEEC

Editor : Sage Publications, London - ROYAUME-UNI (1977)

Millesime : 2012, vol. 36, no5 [pp. 681-692]

Bibliographic references : 3 p.



INIST-CNRS, Cote INIST : 14648 A

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1177/0309133312442522

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2013
Refdoc record number (ud4) : 27293962 : Permanent link - XML version
Powered by Pxxo