Application of Bayesian networks to large-scale predictive ecosystem mapping

Abstract

Large-scale ecosystem maps are essential tools for managers of forest-related activities. In British Columbia, the prevailing approach for ecosystem mapping has been to use an expert system that captures expert knowledge in the form of a belief matrix. In this project, I replaced the belief matrix with a Bayesian network in an attempt to overcome some of the drawbacks of the belief-matrix approach. I created a Bayesian-network knowledge base applied to an area encompassing Prince Rupert and part of the following three The results of the map-accuracy assessment, however, were consistent with those resulting from a belief-matrix approach. I considered the Bayesian-network knowledge bases easier to develop, interpret and update than belief matrices.