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Simple Urban Simulation Atop Complicated Models: Multi-Scale Equation-Free Computing of Sprawl Using Geographic Automata.

, , , and . Entropy, 15 (7): 2606-2634 (2013)

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GeoSim 2018 workshop report the 1st ACM SIGSPATIAL international workshop on geospatial simulation., , , , , and . ACM SIGSPATIAL Special, 10 (3): 28-29 (2018)Behavioral Intelligence for Geospatial Agents in Urban Environments.. IAT, page 63-66. IEEE Computer Society, (2007)Spatial and temporal analysis of pedestrian egress behavior and efficiency., and . GIS, page 59. ACM, (2007)An extensible simulation environment and movement metrics for testing walking behavior in agent-based models., , , , , and . Comput. Environ. Urban Syst., 36 (1): 1-17 (2012)Simple Urban Simulation Atop Complicated Models: Multi-Scale Equation-Free Computing of Sprawl Using Geographic Automata., , , and . Entropy, 15 (7): 2606-2634 (2013)Inverse augmentation: Transposing real people into pedestrian models., and . Comput. Environ. Urban Syst., (March 2023)Geosimulation: object-based modeling of urban phenomena., and . Comput. Environ. Urban Syst., 28 (1-2): 1-8 (2004)Understanding Citizens' and Local Governments' Digital Communications During Natural Disasters: The Case of Snowstorms., , , and . WebSci, page 141-150. ACM, (2017)Real-time experiential geosimulation in virtual reality with immersion-emission., and . GeoSim@SIGSPATIAL, page 19-28. ACM, (2021)Cellular Models of Urban Systems., and . ACRI, page 108-116. Springer, (2000)