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Model-based adaptive cluster sampling

Rapley, V E; Welsh, Alan


Adaptive cluster sampling is useful for exploring populations of rare plant and animal species which cluster together because it allows sampling effort to be concentrated in areas where observed values are high. This allows more useful data to be collected with less effort than simpler sampling methods which ignore the population structure. In this paper, we take a model based approach in a Bayesian framework to make inference about the number of individuals in a sparse, clustered population....[Show more]

CollectionsANU Research Publications
Date published: 2008
Type: Journal article
Source: Bayesian Analysis
DOI: 10.1214/08-BA327


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