Abstract
Agent-based modeling (ABM) is quickly becoming a choice tool for researchers, as it is very adept at modeling natural phenomena. Real-world data has the ability to further increase the usefulness of agent-based models. This can be achieved through the inclusion of geographical information system (GIS) data. Such integration between ABM and GIS may sound trivial, but is difficult to do effectively, particularly as the complexity of GIS data and the amount of agents increase. Here, we present methods and recommendations on including GIS data in a complex simulation model. We demonstrate our techniques to an advanced epidemiological model.
Original language | English (US) |
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State | Published - Mar 22 2009 |
Externally published | Yes |
Event | 2009 Spring Simulation Multiconference, SpringSim 2009 - San Diego, United States Duration: Mar 22 2009 → Mar 27 2009 |
Conference
Conference | 2009 Spring Simulation Multiconference, SpringSim 2009 |
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Country/Territory | United States |
City | San Diego |
Period | 3/22/09 → 3/27/09 |
All Science Journal Classification (ASJC) codes
- Modeling and Simulation
Keywords
- Epidemiological modeling
- Performance
- Raster data
- Scientific simulation
- Vector data