2004 UC Proceedings Abstract
Integration of Agent-Based Models and GIS Track: Modeling Author(s): Daniel Brown The use of object-orientation for both spatial data and spatial process models facilitates their integration, which can allow exploration and explanation of spatial-temporal phenomena. In order to better understand how tight coupling might proceed and to evaluate the possible functional and efficiency gains from such a tight coupling, we categorize possible relationships between geographic data (fields and objects) and agent-based process models into four types: identity, causal, temporal, and topological. These types of relationships are illustrated with example agent-based models. We conclude by discussing the scientific and practical advantages of developing systems that can closely couple GIS databases with agent-based models. Daniel Brown University of Michigan School of Natural Resources and Environment 430 E. University Ann Arbor , MI 48109-1115 US Phone: 734-763-5803 E-mail: danbrown@umich.edu |
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