ESTIMATING DISTRIBUTION MAPS FROM ATLAS DATA USING METHODS OF STATISTICAL IMAGE-ANALYSIS

被引：27

作者：

HOGMANDER, H ^{[1
]}

MOLLER, J ^{[1
]}

机构：

[1] AARHUS UNIV,DEPT THEORET STAT,DK-8000 AARHUS C,DENMARK

来源：

BIOMETRICS | 1995年 / 51卷 / 02期

关键词：

ATLAS MAPPING; BAYESIAN IMAGE ANALYSIS; BIOGEOGRAPHICAL DISTRIBUTIONS; GEOGRAPHIC INFORMATION SYSTEMS; ITERATED CONDITIONAL MODES; MAXIMUM MARGINAL POSTERIOR; SPATIAL STATISTICS;

D O I：

10.2307/2532928

中图分类号：

Q [生物科学];

学科分类号：

07 [理学]; 0710 [生物学]; 09 [农学];

摘要：

Bayesian image classification methods, namely maximum marginal posterior estimation and the iterated conditional modes algorithm psi 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.

引用

页码：393 / 404

页数：12

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