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  4. A Markov Random Field Approach to Modelling Animal Habitat

A Markov Random Field Approach to Modelling Animal Habitat

Thursday, August 6, 2015 - 11:00
Andres Sanchez-Ordonez, MSc. student- Statistics, UBC
Statistics Seminar
Room 4192, Earth Science Buildling, 2207 Main Mall


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.