Now showing items 1-4 of 4

  • 3D stochastic modelling of heterogeneous porous media - Applications to reservoir rocks 

    Wu, Kejian; Van Dijke, Marinus I. J.; Couples, Gary D.; Jiang, Zeyun; Ma, Jingsheng; Sorbie, Kenneth S.; Crawford, John W.; Young, Iain M.; Zhang, Xiaoxian (Springer Netherlands, 2006-12)
    The creation of a 3D pore-scale model of a porous medium is often an essential step in quantitatively characterising the medium and predicting its transport properties. Here we describe a new stochastic pore space ...
  • Bayesian estimation for percolation models of disease spread in plant populations 

    Gibson, G. J.; Otten, Wilfred; Filipe, J. A. N.; Cook, A.; Marion, G.; Gilligan, C. A. (Springer Verlag, 2006-12)
    Statistical methods are formulated for fitting and testing percolation-based, spatio-temporal models that are generally applicable to biological or physical processes that evolve in spatially distributed populations. The ...
  • An efficient Markov chain model for the simulation of heterogeneous soil structure 

    Wu, Keijan; Nunan, Naoise; Crawford, John W.; Young, Iain M.; Ritz, Karl (American Society of Agronomy, 2004)
    The characterization of the soil habitat is of fundamental importance to an understanding of processes associated with sustainable management such as environmental flows, bioavailability, and soil ecology. We describe a ...
  • Estimation of multiple transmission rates for epidemics in heterogeneous populations 

    Cook, Alex R.; Otten, Wilfred; Marion, Glenn; Gibson, Gavin J.; Gilligan, Christopher A. (The National Academy of Sciences of the USA, 2007-12)
    One of the principal challenges in epidemiological modeling is to parameterize models with realistic estimates for transmission rates in order to analyze strategies for control and to predict disease outcomes. Using a ...