Effects of Spatial Scale in Cellular Automata Model for Land Use Change

摘要

Cellular automata (CA) is an efficient model to simulate land use and coverage change (LUCC) process. However, the spatial scale decisions of geographic cellular automata are often made arbitrarily. This article investigates the effect of changing cell size and neighborhood configuration on the result prediction accuracy of the CA-Markov model and the morphology of land use change simulation result. The research shows that spatial scale has great impact on the simulation results of CA-Markov model. Therefore, the selection of cell size must be careful. Neighborhood configuration also has impact on the simulation results of CA-Markov model.