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(Article of periodic en Anglais - 2011)

Document title

A geostatistical linear regression model for small area data

Authors(s) and Affiliation(s)

NAGLE N.N. (1) ; SWEENEY S.H. (2) ; KYRIAKIDIS P.C. (3) ;
(1) Dept. of Geography, Univ. of Tennessee, Knoxville, ETATS-UNIS
(2) Dept. of Geography, Univ. of California, Santa Barbara, ETATS-UNIS
(3) Dept. of Geography, Univ. of the Aegean, Mytilene, GRECE

Abstract

The spatial autocorrelation is modeled using a geostatistical model specified at the scale of the individual. The AA. establish that this approach also is a valid autoregressive model. It is an alternative to the conventional lattice-type approaches for modeling spatial structure in area-level data.

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, no1 [pp. 38-60]

Bibliographic references : 41 ref.

Collation : 1 fig., 3 tabl., équations

Language

Anglais

INIST-CNRS, Cote INIST : 17078

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