Name
Title | ||
|---|---|---|
Spatially aware agents: an effective and efficient use of GIS data within an agent-based model |
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. |
Year | Venue | Keywords |
|---|---|---|
2009 | SpringSim | complex simulation model,agent-based modeling,agent-based model,efficient use,advanced epidemiological model,spatially aware agent,gis data,choice tool,geographical information system,natural phenomenon,agents increase,real-world data,raster data,simulation model,performance,geographic information system |
Field | DocType | Citations |
Data science,Information system,Scientific simulation,Data mining,Raster data,Agent-based model,Computer science,Simulation,Enterprise GIS | Conference | 1 |
PageRank | References | Authors |
0.36 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ryan C. Kennedy | 1 | 27 | 4.58 |
| Kelly E. Lane | 2 | 1 | 0.70 |
| Agustín Fuentes | 3 | 1 | 0.70 |
| Hope Hollocher | 4 | 1 | 0.70 |
| Greg Madey | 5 | 153 | 9.65 |