Using GIS vector data to build virtual environments for agent based models

ABSTRACT

After focusing on proofs of principle and feasibility, the new generation of agent-based applications is becoming more realistic. The use of real-world data, particularly geospatial information system (GIS) data, to set up the environment is one of the resulting challenges to be solved. This paper compares two possible approaches: discrete and continuous agent space modeling. NetLogo, Swarm, Repast, OBEUS, and UrbanSim are evaluated with regard to support of these ideas for agent space modeling. The results presented show that first applications are possible, but that more community support is needed.

REFERENCES

• 1: Joshua M. Epstein , Robert Axtell, Growing artificial societies: social science from the bottom up, The Brookings Institution, Washington, DC, 1996
• 2: Borning, A., Waddell, P., and Förster, R. 2006. "UrbanSim: Using simulation to inform public deliberation and decision making." http://www.urbansim.org/papers/borning--urbansim--case--study--2006.pdf.
• 3: Timothy A. Kohler , George J. Gummerman, Dynamics in human and primate societies: agent-based modeling of social and spatial processes, Oxford University Press, Oxford, 2000
• 4: Gardner, Martin. 1970. "Mathematical Games: The Fantastic Combinations of John Conway's New Solitaire Game 'Life'." Scientific American 223, 4:120--123.
• 5: B. J. MacLennan, Continuous Spatial Automata, University of Tennessee, Knoxville, TN, 1990
• 6: Brown, D. G., R. Riolo, D. T. Robinson, M. North, and W. Rand. 2005. "Spatial process and data models: Toward integration of agent-based models and GIS." Journal of Geographic Systems 7: 25--47.
• 7: Benenson, I. & Torrens, P. M. 2004. "A minimal prototype for integrating GIS and geographic simulation through Geographic Automata Systems". In GeoDynamics, P. Atkinson, G. Foody, S. Darby, F. Wu (Eds.) Florida: CRC Press, pp. 347--369.
• 8: Mills. 2000. Introduction to Logo http://www.softronix.com/logo.html.
• 9: Wilensky, U. 2007. NetLogo Users Manual. http://ccl.northwestern.edu/netlogo/. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.
• 10: Swarm Development Group. Documentation Set for Swarm 2.2. Published 17 December 2004. http://www.Swarm.org/wiki/Swarm:_documentation_main_page#Objective-C_Reference_Guide.
• 11: Jackson, J. 2005. "Repast GIS Manual". McGill University. http://jeremyjac.googlepages.com/repast_tutorial2.pdf.
• 12: Benenson I. and Harbash, V. 2004. Object-Based Environment for Urban Simulation OBEUS: User's Guide. Tel Aviv, Isreal. Environmental Simulation Laboratory, Tel Aviv University. http://www.eslab.tau.ac.il/obeus/obeus.htm.
• 13: Benenson I. and Harbash, V. 2004. Geosimulation - Automata-Based Modeling of Urban Phenomena, Wiley, 2004
• 14: Schelling, T. C. (1978) Micromotives and Macrobehavior New York: W. W. Norton.
• 15: UrbanSim Project, The. 2007. UrbanSim Version 4: Reference Manual and Users Guide. Center for Urban Simulation and Policy Analysis, University of Washington. http://www.urbansim.org/download/.

INDEX TERMS

Keywords:
Geospatial Information Systems (GIS), NetLogo, OBEUS, UrbanSim, continuous agent space, discrete agent space, repast, swarm