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(Article of periodic en Anglais - 2011)

Document title

A new perspective about Moran's coefficient : spatial autocorrelation as a linear regression problem

Authors(s) and Affiliation(s)

DRAY S. (1) ;
(1) Laboratoire de biométrie et biologie évolutive, CNRS UMR 5558, Villeurbanne, FRANCE

Abstract

The eigendecomposition of the spatial weighting matrix is used to propose a new view of the Moran coefficient based on its interpretation in the simple context of linear regression. This interpretation demonstrates the different properties of MC and also the inefficiency of this index in some situations. New statistics and procedures are proposed for testing spatial autocorrelation, and a simulation study is conducted. The real data set concerns the analysis of mosquito counts in the urban area of Karima, Kenya

Source

Article of periodic

published at : Geographical analysis / ISSN 0016-7363

Editor : Ohio State University Press, Columbus, OH - ETATS-UNIS (1969)

Millesime : 2011, vol. 43, no2 [pp. 127-141]

Bibliographic references : 33 ref.

Collation : 4 fig., équations

Language

Anglais

INIST-CNRS, Cote INIST : 17078

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2011
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