Multiscale statistical models for hierarchical spatial aggregation

Auteurs :
KOLACZYK, E.D.
HUANG, H.

Description :
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.


Type de document :
Article de périodique

Source :
Geographical analysis, issn : 0016-7363, 2001, vol. 33, n°. 2, p. 95-118, Collation : Illustration, Références bibliographiques : 40 ref.

Date :
2001

Editeur :
Pays édition : Etats-Unis, Columbus, OH, Ohio State University Press