Application of random forest, generalised linear model and their hybrid methods with geostatistical techniques to count data: Predicting sponge species richness. Li, J., Alvarez, B., Siwabessy, J., Tran, M., Huang, Z., Przeslawski, R., Radke, L., Howard, F., & Nichol, S. Environmental Modelling & Software, 97:112–129, Elsevier BV, nov, 2017.
doi  bibtex   
@Article{Li2017,
  author    = {Jin Li and Belinda Alvarez and Justy Siwabessy and Maggie Tran and Zhi Huang and Rachel Przeslawski and Lynda Radke and Floyd Howard and Scott Nichol},
  title     = {Application of random forest, generalised linear model and their hybrid methods with geostatistical techniques to count data: Predicting sponge species richness},
  journal   = {Environmental Modelling {\&} Software},
  year      = {2017},
  volume    = {97},
  month     = {nov},
  pages     = {112--129},
  doi       = {10.1016/j.envsoft.2017.07.016},
  file      = {:1-s2.0-S1364815217301615-main.pdf:PDF},
  publisher = {Elsevier {BV}},
}

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