Considerations for selecting a machine learning technique for predicting deforestation

There are a many reasons for creating quantitative models of deforestation, supported by a variety of modelling techniques for doing so. We examine the suitability of four different modelling techniques for predicting deforestation; Bayesian networks (BNs), artificial neural networks (ANNs), Gaussian processes (GPs), and generalised linear mixed models (GLMMs). The analysis is provided in the context of the Verified Carbon Standard Approved...