Decreasing Computational Time of Urban Cellular Automata Through Model Portability

摘要: This paper investigates how portability of a model between different computer operating systems can lead to increased efficiency in code execution. The problem is not trivial one, as many geographic models are designed be run inside set environment (Unix, Solaris, Linux, and Windows), further limited by hardware constraints. SLEUTH urban growth [K.C Clarke, S. Hoppen, L. Gaydos. "A self-modifying cellular automaton historical urbanization the San Francisco Bay area", Environment Planning B, 24:247---261, 1997.] was implemented under three (Solaris, Windows). Results suggest that model's performance optimized porting it from its original (Unix/Solaris) Linux or Windows where faster processors available. While results show optimization performance, there some suggestions computational bottlenecks may eventually limit model. Regardless, research demonstrates only decrease computation time, but increase viability practical applications attract wider user base.