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.

Event Type
Location
Room 4192, Earth Science Buildling, 2207 Main Mall
Speaker
Andres Sanchez-Ordonez, MSc. student- Statistics, UBC
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