Courses

GEOGR 1500 The Geography of Cyberspace (4 credit hours) - A general education (science) course. Typically offered fall semesters

'Cyberspace' or the information world created by the Internet, World Wide Web (WWW), Virtual Reality (VR) and other information and immersive technologies is having a profound impact on culture,society and economics. It is also having a profound impact on the way we view and use geography. Cyberspace can collapse space and time, making geography meaningless for activities such as shopping, correspondence and social interaction. But at the same time, cyberspace can also enhance geography by increasing our knowledge of places and improving the competitive advantage of 'wired' cities and regions. At the extreme, cyberspace can actually replace real geography by creating virtual worlds through increasingly powerful VR environments. This course examines the complex interactions between cybergeography and real geography and the potential impacts on society and the global economy. Students will have opportunities to explore these issues through traditional lectures, reading and discussions as well as WWW-based projects and web-enhanced instruction.

GEOGR 5150/6150 Spatial Database Design for GIS (3 credit hours). Typically offered fall semesters

Prerequisite: GEOGR 3020 and 3140 and 5140. Geography graduate students should take GEOGR 6150 and will be held to higher standards and/or more work. Rigorous review of the theoretic, mathematical, and computational foundations of GIS, including database theory, spatial information
theory, mathematical models of spatial objects, and GIS-based representation and computational procedures.

GEOGR 6010 GeoComputation (4 credit hours). Typically offered spring semesters.

This course is required for all geography graduate students but is also open to students from other programs. Recommended Prerequisite: MATH 1210 or equivalent knowledge of basic calculus. The increasing volume and complexity of available digital geographic data overwhelms traditional analytical modeling methods. Alternatively, we can exploit the increasing power of computational environments to analyze geographic phenomena with a minimum of simplifying assumptions. This course is a high-level introduction to the use of computational intelligence methods for exploring, analyzing, modeling and simulating geographic phenomena. Techniques discussed include heuristic search in spatial optimization, pattern recognition and machine learning techniques and simulating complex spatio-temporal systems.

GEOGR 6960 Seminar in Geographic Problems (3 credit hours). Typically offered spring semesters.

Selected geographic problems. Faculty research specializations in which seminars may be offered include biogeography, climate variability, counterurbanization, field and laboratory methods in remote sensing, geographic information systems (GIS), mathematical methods, quaternary field studies, reconstructing historical environments, remote sensing theory and applications, soils, theories of development, urban trends, and regional analysis.
Previous seminar offerings by Harvey:

Spring 2004 - Social Networks in Space and Time

Spring 2003 - Time Geography and Location-based Services

Spring 2002 - GIS for Transportation

Spring 1999 - Geographic Data Mining and Knowledge Discovery

Fall 1997 - GIS and Transportation

Spring 1997 - Equilibrium Travel Demand Modeling

Autumn 1996 - Object-oriented GIS

Spring 1996 - Spatial Database Design

Winter 1994 - Transportation Modeling

Spring 1993 - Network Analysis

Spring 1992 - Disaggregate Travel Demand Modeling