Thesiss

This study predicts the presence or absence of terrorism in Europe at a previously unexplored spatial scale. Dependent variables consisted of satellite imagery and socio-environmental data. Five machine learning models were evaluated over a binary classification problem, the pre…

This work consists of three parts. For the first portion we consider a generalized linear model with possible correlated random effects. We use a Bayesian hierarchical generalized linear mixed model to estimate success rates at a post-stratified level. The model includes an auto…

While previous literature has emphasized the importance of energy and public infrastructure services for economic development, questions surrounding the implications of unequal spatial distribution in access to these resources remain, particularly in the developing country conte…

Cancer epidemiology has a long history of applying geographic thinking to address long-standing place-based disparities. This dissertation adds new knowledge to geospatial approaches to social determinants of cancer outcomes. It establishes a framework consisting of three dimens…

This thesis utilizes spatial and nonspatial statistics to identify where in Bangladesh recruits of the Jamaat-ul Mujahideen fi Balad-al Benga l (JMB) violent Islamist insurgent movement cluster and why they are from these areas. The study argues that the historical and geographi…