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 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.