(Article of periodic en Anglais - 2014)

Document title

Focusing on the spatial non-stationarity of landslide predisposing factors in northern Iceland : Do paraglacial factors vary over space?

Authors(s) and Affiliation(s)

FEUILLET T. (1) ; COQUIN J. (2) ; MERCIER D. (2) ; COSSART E. (3) ; PÁLL JÓNSSON H. (4) ; SÆMUNDSSON þ (5) ;
(1) CNRS LETG-Nantes-Géolittomer UMR 6554; GDR 3062 "mutations polaires", Nantes, FRANCE
(2) Univ. Nantes; CNRS LETG-Nantes-Géolittomer UMR 6554; GDR 3062 "mutations polaires", Nantes, FRANCE
(3) Univ. Paris 1; CNRS PRODIG - UMR 8586; GDR 3062 "mutations polaires", Paris, FRANCE
(4) Northwest Iceland Comprehensive College, ISLANDE
(5) Engineering and Natural Sciences, Fac. of Earth Sciences, Univ. of Iceland, ISLANDE


In Skagafjörður, a landslide-rich north–south oriented area located in northern Iceland, the AA. investigated whether spatial non-stationarity in the relationships between paraglacial variables (glacio-isostatic rebound and post-glacial debuttressing, both captured in this area by latitude) and landslide locations is detectable. They performed 2 logistic regression models, one global (GLR) and the other enabling the regression parameters to vary locally (geographically weighted logistic regression, GWLR). Each model was computed with 2 types of outcome, one based on the entire masses of landslides and the other only on the scarps of landslides. GLR results reveal that increasing latitude is associated with increasing probability of landslide occurrence, confirming that post-glacial rebound is of prime importance at the regional scale. The GWR-based approach provides some significant inputs for spatial analysis of mass movement processes, by identifying multi-scale process control zones and by highlighting local drivers, indecipherable in global models


Article of periodic

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

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

Millesime : 2014, vol. 38, no3 [pp. 354-377]

Bibliographic references : 3 p.

Collation : 6 fig., 7 tabl.



INIST-CNRS, Cote INIST : 14648 A

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1177/0309133314528944

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2014
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