Exploring spatial non-stationarity of fisheries survey data using geographically weighted regression (GWR): an example from the Northwest Atlantic

Matthew J. S. Windle; George A. Rose; Rodolphe Devillers; Marie-Josee Fortin

doi:10.1093/icesjms/fsp224

Retour

Exploring spatial non-stationarity of fisheries survey data using geographically weighted regression (GWR): an example from the Northwest Atlantic

Article de revue

Avec comité de lecture

Exploring spatial non-stationarity of fisheries survey data using geographically weighted regression (GWR): an example from the Northwest Atlantic

Matthew J. S. Windle, George A. Rose, Rodolphe Devillers et Marie-Josee Fortin

ICES journal of marine science, Vol.67(1), pp.145-154

01/01/2010

DOI: https://doi.org/10.1093/icesjms/fsp224

Résumé

Fisheries

Life Sciences & Biomedicine

Marine & Freshwater Biology

Oceanography

Physical Sciences

Science & Technology

Windle, M. J. S., Rose, G. A., Devillers, R., and Fortin, M-J. 2010. Exploring spatial non-stationarity of fisheries survey data using geographically weighted regression (GWR): an example from the Northwest Atlantic. - ICES Journal of Marine Science, 67: 145-154.

Indicateurs

1 Consultations de la notice

Détails

Titre: Exploring spatial non-stationarity of fisheries survey data using geographically weighted regression (GWR): an example from the Northwest Atlantic
Créateurs - sans rôle: Matthew J. S. Windle - Mem Univ Newfoundland, Inst Marine, Fisheries Conservat Grp, St John, NF A1C 5R3, Canada
George A. Rose - Mem Univ Newfoundland, Inst Marine, Fisheries Conservat Grp, St John, NF A1C 5R3, Canada
Rodolphe Devillers - Mem Univ Newfoundland, Dept Geog, St John, NF A1C 5R3, Canada
Marie-Josee Fortin - Univ Toronto, Dept Ecol & Evolutionary Biol, Toronto, ON M5S 3G5, Canada
Détails de publication: ICES journal of marine science, Vol.67(1), pp.145-154
Éditeur: Oxford Univ Press
Nombre de pages: 10
Note de subvention: Canadian Centre for Fisheries Innovation (CCFI) Newfoundland and Labrador Department of Fisheries and Aquaculture and Natural Sciences and Engineering Research Council of Canada (NSERC); Natural Sciences and Engineering Research Council of Canada (NSERC) GEOIDE Canadian Network of Centres of Excellence (NCE)
Identifiants: 99149787609311
Unité académique: Observation Spatiale, Modèles et Science Impliquée - ESPACE DEV
Langue: English
Type de ressource: Journal article