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Application of random forest, generalised linear model and their hybrid methods with geostatistical techniques to count data: Predicting sponge species richness. Environmental Modelling & Software [Internet]. 2017 ;97:112 - 129. Available from: http://linkinghub.elsevier.com/retrieve/pii/S1364815217301615
. Performance of predictive models in marine benthic environments based on predictions of sponge distribution on the Australian continental shelf. Ecological Informatics [Internet]. 2011 ;6(3-4):205 - 216. Available from: http://www.sciencedirect.com/science/article/pii/S1574954111000033
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