Abstract
This paper develops an analyzing method for a time series of cityscape evaluations so as to take account of interactions between views in the previous time period and the current period. Two evaluation models are provided, one of which includes interaction terms, and the other of which is an additive model having no interaction terms. These models are represented in the state-spaces by the auto-regression process to estimate evaluation values by the Kalman filtering. The necessity of considering interactions is examined by comparing the accuracy of their estimations when these models are applied to a cityscape evaluation problem. Also, it is checked whether observed results meet the application condition for the additive model. These examinations give an affirmative answer to the question about the necessity of considering interactions. In addition, a brief but instructive comment is made on color sequences suitable to façades in a cityscape.
