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Geographically weighted regression: a method for exploring spatial nonstationarity

Author
BRUNSDON, C1 ; FOTHERINGHAM, A.S; CHARLTON, M.E
[1] Dept. of Town and Country Planning, Newcastle University, Newcastle upon Tyne, United Kingdom
Source

Geographical analysis. 1996, Vol 28, Num 4, pp 281-298 ; Illustration ; ref : 25 ref

ISSN
0016-7363
Scientific domain
Geography
Publisher
Ohio State University Press, Columbus, OH
Publication country
United States
Document type
Article
Language
English
Keyword (fr)
Analyse de régression Analyse spatiale Automobile Calage Discontinuité Distance Equipement des ménages Localisation Variation spatiale Pondération England Royaume-Uni Tyne and Wear
Keyword (en)
Regression analysis Spatial analysis Car Calibration Discontinuity Distance Household equipment Location Spatial variation England United Kingdom Tyne and Wear
Classification
Francis
531 Bgi / Prodig / 531-1 General / 531-6 General methodology / 531-8 Statistical and stochastic methods

Discipline
Geography
Origin
PRODIG
Database
FRANCIS
INIST identifier
5966596

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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