GEOG 6408 - Spatial Optimization

Spatial Optimization is articulated around the explicit use of GIS tools and techniques to solve coverage, distance-decay problems as well as routing problems integrating geographic information. Case studies in various domains such as urban retailing or transportation. Problem formulation and solution techniques to optimally preserve existing natural reserves, such as reservoir resources or locating natural corridors between biologically rich areas to protect diversity.

Credit Hours: (3)
Prerequisite(s): GEOG 5120 or permission of instructor.
Cross-listed Course(s): GEOG 8408.
Most Recently Offered (Day): Fall 2018, Fall 2020
Most Recently Offered (Evening): Course has not been offered at this time in the past 3 years

Schedule of Classes