Multi-Objective Models that Address Spatial Uncertainty

Presentation Date

November 11, 2011

Authors

Ran Wei, Alan Murray

Presentation Information

58th Annual North American Meetings of the Regional Science Association International
Miami, Florida
November 9-12, 2011

Session: Location and Spatial Modeling F: Friday Nov 11

Ran Wei, Arizona State University
Alan Murray, Arizona State University

Abstract:

Methods to address geographic data uncertainty are critically important. Spatial analytical approaches are generally limited in their ability to recognize and account for most aspects of uncertainty in spatial data. We propose two multi-objective models that account for spatial uncertainty in a dispersion optimization. This approach enables one to consider model results in terms of relative certainty. Empirical results demonstrate the applicability and usefulness of the developed models.