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(Article of periodic en Anglais - 2001)

Document title

Multiscale statistical models for hierarchical spatial aggregation

Authors(s) and Affiliation(s)

KOLACZYK E.D. ; HUANG H. ;

Abstract

The AA. introduce a new, general framework for multiscale statistical modeling and inference that is explicitly designed for a broad class of geographic data. The key structural assumption underlying these models is that of a set of hierarchically defined partitions, corresponding to successive aggregations of an initial data space. The effects of scale associated with such aggregation are captured through a fundamental decomposition of the data likelihood

Source

Article of periodic

published at : Geographical analysis / ISSN 0016-7363

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

Millesime : 2001, vol. 33, no2 [pp. 95-118]

Bibliographic references : 40 ref.

Collation : Illustration ;

Language

Anglais

Localisation

Laboratoire INTERGEO - Paris

INIST-CNRS, Cote INIST : 17078

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2001.
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