Description: A Monte Carlo simulation was used to generate data for a comparison of five robust regression estimation methods with ordinary least squares (OLS) under 36 different outlier data configurations. Two of the robust estimators, Least Absolute Value (LAV) estimation and MM estimation, are commercially available. Three authormodified variations on MM were also included (MM1, MM2, and MM3). Design parameters that were varied include sample size (n=60 and n=180), number of independent predictor variables (2, 3 and 6), outlier density (0%, 5% and 15%) and outlier location (2x,2y s, 8x8y s, 4x,8y s and 8x,4y s). Criteria on which the regression methods were measured are relative efficiency, bias and a test of the null hypothesis. Results indicated that MM2 was the best performing robust estimator on relative efficiency. The best performing estimator on bias was MM1. The best performing regression method on the test of the null hypothesis was MM2. Overall, the MM-type robust regression methods outperformed OLS and LAV on relative efficiency, bias, and the test of the null hypothesis.

Description: The dissertation is a philosophical approach to politicizing place and space, or environments broadly construed, that is motivated by three questions. How can geography be employed to analyze the spatialities of environmental justice? How do spatial concepts inform understandings of environmentalism? And, how can geography help overcome social/political philosophy's redistribution-recognition debate in a way that accounts for the multiscalar dimensions of environmental justice? Accordingly, the dissertation's objective is threefold. First, I develop a critical geography framework that explores the spatialities of environmental injustices as they pertain to economic marginalization across spaces of inequitable distribution, cultural subordination in places of misrecognition, and political exclusion from public places of deliberation and policy. Place and space are relationally constituted by intricate networks of social relations, cultural practices, socioecological flows, and political-economic processes, and I contend that urban and natural environments are best represented as "places-in-space." Second, I argue that spatial frameworks and environmental discourses interlock because conceptualizations of place and space affect how environments are perceived, serve as framing devices to identify environmental issues, and entail different solutions to problems. In the midst of demonstrating how the racialization of place upholds inequitable distributions of pollution burdens, I introduce notions of "social location" and ...

Description: The purpose of this dissertation is to make sense of two sets of reactions. On the one hand, Americans can barely lift a finger to help threatened and endangered species while on the other, they routinely come to the aid of human victims of disaster. I argue that in contrast to cases of human tragedy, for the biodiversity crisis conservationists are faced not only with the familiar yet arduous task of motivating the American public to care for living other-than-humans, but they are also saddled with having to overcome the motivation problem of future ethics. The motivation problem consists in eliminating or bridging a motivational gap that lies between knowledge of the effects of our actions on future generations and action taken based upon such knowledge. The gap exists because motives that typically move people to action are either ineffective or unavailable. What is more, the gap influences not only our ability to care for future humans, but it affects our ability to care for future other-than-humans as well. Biodiversity loss is in fact a subset of the problem of future generations, an identification hitherto little appreciated. I argue that conservationists can overcome the motivational gap not by appealing directly ...