Spatial Process and Data Models: Toward Integration of Agent-Based Models and GIS Running Title: Integrating Agent-Based Models and GIS

نویسندگان

  • Daniel G. Brown
  • Rick Riolo
  • Derek T. Robinson
  • Michael North
  • William Rand
چکیده

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 identify four key relationships affecting how geographic data (fields and objects) and agent-based process models can interact: identity, causal, temporal and topological. We discuss approaches to implementing tight integration, focusing on a middleware approach that links existing GIS and ABM development platforms, and illustrate the need and approaches with example agent-based models.

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Spatial process and data models: Toward integration of agent-based models and GIS

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تاریخ انتشار 2004