A Markov Random Field Approach to Modelling Animal Habitat

Habitat modelling presents a challenge due to the variety and the accuracy of the data available. My Master's thesis focused on applying Markov random field theory to incorporate distinct types of ecological data into a habitat model. In this talk, I provide a brief overview of the data available and both the intuition and theory for using this data for habitat modelling. Model building, parameter estimation, and results with synthetic data are presented.