The GeoGraph 3D Computational Laboratory: Network and Terrain Landscapes for RePast

Catherine Dibble () and Philip G. Feldman ()
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Catherine Dibble: http://myprofile.cos.com/cdibble
Philip G. Feldman: http://www.philfeldman.com

Journal of Artificial Societies and Social Simulation, 2004, vol. 7, issue 1, 7

Abstract: Our GeoGraph 3D extensions to the RePast agent-based simulation platform support models in which mobile agents travel and interact on rugged terrain or on network landscapes such as social networks of established organizational teams or spatial networks at any scale from rooms within buildings to urban neighborhoods to large geographic networks of cities. Interactive GeoGraph 3D visualizations allow researchers to zoom and pan within the simulation landscape as the model runs. Model-specific 3D representations of agents flock together on terrain landscapes, and teleport or travel along links on network landscapes. Agents may be displayed on network nodes either as individual agents or as dynamic 3D bar charts that reflect the composition of each node's population. Batch modes support scientific control via fully separated random number series, customized parameter combinations, and automatic data collection for many thousands of simulation runs. This paper introduces the GeoGraph 3D computational laboratory and briefly describes three representative GeoGraph models along with basic GeoGraph 3D capabilities and components.

Keywords: Simulation tools; Geographic Simulation; Network Landscapes; Epidemic Control; 3D Landscapes; GeoComputation; Small-world (search for similar items in EconPapers)
Date: 2004-01-31
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Citations: View citations in EconPapers (5)

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