- Describe the classic transportation problem
- Demonstrate how the classic transportation problem can be structured as a linear program
- Implement the transportation simplex method to determine the optimal solution
- Explain why, if supply equals demand, there will always be a feasible solution to the classic transportation problem
This knowledge area embodies a variety of data driven analytics, geocomputational methods, simulation and model driven approaches designed to study complex spatial-temporal problems, develop insights into characteristics of geospatial data sets, create and test geospatial process models, and construct knowledge of the behavior of geographically-explicit and dynamic processes and their patterns.
Topics in this Knowledge Area are listed thematically below. Existing topics are linked directly to either their original (2006) or revised entries; forthcoming, future topics are italicized.