Code and Dataset for Thesis "Bayesian Analysis of Spatial Log-Gaussian Cox Processes"

These files contain the relevant code and data to produce the results presented in the thesis titled "Bayesian Analysis of Spatial Log-Gaussian Cox Processes" by Nadeen Khaleel.

These files contain the input data and the output results for the implementation of the models and exploratory analysis as well as the implementation of the Grid Mesh Optimisation method and the INLA within MCMC algorithms. Some of the input data corresponds to the processed crime data in US cities, in particular incidences of homicide and motor vehicle theft in Los Angeles, New York and Portland, aggregated to census-tract level or discretisation grids. The raw third party data is not included; however, a document detailing how to access the relevant data is provided and all of the code used to clean and extract the necessary data from the raw data is included.

These files additionally contain the relevant code for the data tidying, manipulation and simulation as well as the code to implement the Grid Mesh Optimisation method and the INLA within MCMC algorithms.