Teaching

Introductory Seminar for Epidemiology (EPI 8899.01, .02, .03)

GEOG 8104: Spatial Methods for Health and Population Research
This seminar surveys current topics in health and population research with a focus on spatial statistical methods such as spatial regression, geographically weighted regression, multilevel modeling and cluster analysis.  Throughout the seminar we review the broad field of spatial data analysis and the range of issues that arise when analyzing georeferenced data.  We will read and discuss selections from the current literature and critique how spatial data and statistical methods are being integrated into population and health research. By the end of the course, students will be able to: a) critique spatial analytic methods in selected papers, b) present arguments about appropriate and inappropriate spatial research methods for a given research problem, c) recognize the complexities inherent in using spatial data and choose appropriate methods for data analysis, and d) implement spatial statistical methods using simple population or health datasets.

GEOG 5103: Intermediate Spatial Data Analysis
Geography is a diverse discipline with a wide variety of subject matter including physical (environmental), human (socio‑economic), and integrated (human‑physical) topics of inquiry.  Even within physical geography, biogeographers study different phenomena than hydrologists and climatologists.  Therefore, it is not surprising to learn that there are a variety of advanced analytical methods that geographers can employ in their studies. Space, and spatial data, complicate traditional statistics and geographic scientists have developed their own statistical tools to properly draw inferences from spatial data. This course focuses regression-based multivariate methods widely used by geographers and other scientists, including linear regression (including generalized linear models) and spatial regression (including spatial autoregressive models, conditional autoregressive models, and geographically weighted regression).

GEOG 3702: Life and Death Geographies: Global Population Dynamics
This course is an introduction to issues in Population Geography, including the study of the basic components of population size/growth and distribution (fertility, mortality, and migration) along with the basics of the mathematics of population change.  We critically examine what population growth/decline/stagnation trends are occurring, where they are happening, who is being affected, and most importantly, why such transformations are taking place.  In addition to surveying some of the most important topics that contribute to these transformations (e.g. the HIV/AIDS pandemic, urbanization and urban health in the developing world, international migration), we look at specific demographic regimes (most notably, those prevailing previous to and after the Demographic Transition) and their association with disease, development, and the environment. Like many geography classes, this course spatially applies interdisciplinary research from other fields such as sociology, statistics, political science, and ecology.  We examine population patterns at several scales (global, national, urban/rural) for a variety of countries around the world.

GEOG 5229: Special Topics in GIS: GIS for Public Health
The goal of this course is to leave students with appreciation of the power of Geographic Information Systems (GIS) to explore and analyze spatial health and medical data. The course will focus on organizing health data in a GIS, clustering detection methods, and basic spatial statistics. We will also have a brief introduction to the field of Health & Medical Geography and learn how to communicate to people in the field of public health. Lab work will provide hands on experience with example data, leaving students with a firm grasp of contemporary health and medical problems and a skill set of spatial analytical methods that can be used to solve them.