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| Title: | Spatial process and data models: Toward integration of agent-based models and GIS |
| Authors: | Riolo, Rick L.
Brown, Daniel G.
Robinson, Derek T.
North, Michael
Rand, William |
| Issue Date: | May-2005 |
| Publisher: | Springer-Verlag; Springer-Verlag Berlin Heidelberg |
| Citation: | Brown, Daniel G.; Riolo, Rick; Robinson, Derek T.; North, Michael; Rand, William; (2005). "Spatial process and data models: Toward integration of agent-based models and GIS." Journal of Geographical Systems 7 (1): 25-47. <http://hdl.handle.net/2027.42/47930> |
| Abstract: | 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. |
| ISSN: | 1435-5930
1435-5949 |
| DOI: | 10.1007/s10109-005-0148-5 |
| Appears in Collections: | Interdisciplinary and Peer-Reviewed
Population Studies Center
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Size | Format | |
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| 10109_2005_Article_148.pdf | | 377Kb | Adobe PDF | View/Open |
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