A comparative analysis of kNN and decision tree methods for the Irish National Forest Inventory

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Integration of forest mapping and inventory to support forest management (2010, background): “…and neural networks (multilayer perceptrons, self-organising maps, radial basis function networks, adaptive resonance theory networks, etc.) are promising, albeit usually less effective than NN techniques for mapping forest attributes (e.g., McInerney & Nieuwenhuis 2009, Stümer et al. 2010).”
Evaluation of most similar neighbour and random forest methods for imputing forest inventory variables using data from target and auxiliary stands (2012, result): “An exception is the work of McInerney and Nieuwenhuis (2009), which reported a contrasting outcome based on a comparative study across Irish landscapes.”