Centre for Wildlife Management

Modelling & Prediction

Modelling and Prediction

Understanding the interface between wildlife and landscape is key to making good management decisions.

Our key interest is to further the understanding of this interface and the implications of management actions.

Data in this area is diverse, both spatially and temporally. Often, the data is non-normal, multivariate or zero-inflated. We adopt a variety of innovative modelling methods, including:

  • bayesian techniques
  • neural networks
  • structural equation models 

These methods help us to investigate system processes. By incorporating uncertainty and scenario building, we help decision makers. 

Research topics and publications