Journal article

Model-based adaptive spatial sampling for occurrence map construction

N Peyrard, R Sabbadin, D Spring, B Brook, R Mac Nally

Statistics and Computing | Published : 2013

Abstract

In many environmental management problems, the construction of occurrence maps of species of interest is a prerequisite to their effective management. However, the construction of occurrence maps is a challenging problem because observations are often costly to obtain (thus incomplete) and noisy (thus imperfect). It is therefore critical to develop tools for designing efficient spatial sampling strategies and for addressing data uncertainty. Adaptive sampling strategies are known to be more efficient than non-adaptive strategies. Here, we develop a model-based adaptive spatial sampling method for the construction of occurrence maps. We apply the method to estimate the occurrence of one of th..

View full abstract

University of Melbourne Researchers

Citation metrics