Estimating Distribution Maps from Atlas Data Using Methods of Statistical Image Analysis

Bayesian image classification methods, namely maximum marginal posterior estimation and the iterated conditional modes algorithm ψ are applied in the estimation of biogeographical ranges. The presented procedures are developed to utilize atlas map data, that is, observations recorded in a grid of ce...

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Bibliographic Details
Published in:Biometrics 1995-06, Vol.51 (2), p.393-404
Main Authors: Hogmander, Harri, Moller, Jesper
Format: Article
Language:English
Subjects:
Analytical estimating
Aviculture
Biometrics
Breeding
Empirical evidence
Estimation methods
Image analysis
Observational research
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Summary:Bayesian image classification methods, namely maximum marginal posterior estimation and the iterated conditional modes algorithm ψ are applied in the estimation of biogeographical ranges. The presented procedures are developed to utilize atlas map data, that is, observations recorded in a grid of cells, by interpreting these maps as incompletely observed binary pixel images. Modelling of breeding bird atlases with a complex presentation of observations and inhomogeneous research activity is especially considered. Empirical examples are provided.
ISSN:0006-341X
1541-0420
DOI:10.2307/2532928