Partial validation of cellular automata based model simulations of urban growth: An approach to assessing factor influence using spatial methods
A set of runs were computed for all possible combinations of main input factors. Generated simulations were compared using spatial metrics and buffer zones. The main and total effects of each parameter were computed for each method employed, applying a simplified GSA. A stability (frequency) map was made for the different simulations generated to detect the more robust areas. This simple methodology is an attempt to improve modeller-planner communication and understanding.
partial validation urban growth cellular automata models map comparison frequency maps