SIE 565 - Reasoning With Uncertainty in Spatial Information Systems

Information systems and artificial intelligence approaches to uncertainty handling in spatial information systems. Typology of uncertainty: imprecision, inaccuracy and inconsistency. Representing and reasoning with spatial uncertainty in information systems. Logics of uncertainty, probabilistic and Bayesian approaches, Dempster-Shafer theory of evidence. Spatial vagueness. Handling conflicting information.

Prerequisites: SIE 550. Graduate standing or permission of instructor.

Course Typically Offered: Spring

Credits: 3