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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
. Baseline biogeochemical data from Australia’s continental margin links seabed sediments to water column characteristics. Marine and Freshwater Research [Internet]. 2017 . Available from: http://www.publish.csiro.au/?paper=MF16219
. Spatially balanced designs that incorporate legacy sites . Methods in Ecology and Evolution [Internet]. 2017 . Available from: http://doi.wiley.com/10.1111/2041-210X.12782
Characterising sediments of a tropical sediment-starved shelf using cluster analysis of physical and geochemical variables. Environmental Chemistry [Internet]. 2015 . Available from: http://www.publish.csiro.au/?paper=EN14126
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A geochemical characterization of deep-sea floor sediments of the northern Lord Howe Rise. Deep Sea Research Part II: Topical Studies in Oceanography [Internet]. 2011 ;58(7-8):909 - 921. Available from: http://www.sciencedirect.com/science/article/pii/S0967064510003462
. 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
. Seabed gravel content across the Australian continental EEZ . [Internet]. 2011 . Available from: https://www.ga.gov.au/products/servlet/controller?event=FILE_SELECTION&catno=71981
. Seabed mud content across the Australian continental EEZ . [Internet]. 2011 . Available from: https://www.ga.gov.au/products/servlet/controller?event=FILE_SELECTION&catno=71977
. Seabed sand content across the Australian continental EEZ . [Internet]. 2011 . Available from: https://www.ga.gov.au/products/servlet/controller?event=FILE_SELECTION&catno=71982
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