Integrating logistic regression and cellular automata-Markov models with the experts' perceptions for detecting and simulating land use changes and their driving forces.

Modeling spatial-temporal dynamic of land use change is of great necessity for understanding the status of the past, causes of the change, and prediction of the future. This study aims to objectify three topics which include identifying the past land use changes, modeling the future changes, and subsequently considering their driving forces. The change detection analysis has shown that about 12,081.