Science and Education Publishing Applied Ecology and Environmental Sciences 1 6 2013 12 01 Application of a Hybrid Cellular Automaton – Markov (CA-Markov) Model in Land-Use Change Prediction: A Case Study of Saddle Creek Drainage Basin, Florida 126 132 EN Praveen Subedi School of Forest Resources and Conservation, University of Florida, Gainesville, FL Kabiraj Subedi Bina Thapa AEES2013165 10.12691/aees-1-6-5 2013 05 15 2013 09 23 2013 12 01 We utilized spatio-temporal data to investigate the applicability of a hybrid (CA- Markov) model in predicting land-use change in Saddle Creek drainage basin in Florida. Agreement statistics (Kappa) between the actual land-use and that predicted by our model showed an acceptable level of prediction accuracy. This demonstrated the validity of the model in land-use change prediction in our study. Our model predicted a notable increase in the urban areas (47.3 % to 49.4%) and transportation facilities (3.7% to 5 %) from 2006 to 2015. On the contrary, agricultural areas are predicted to decline from 14.4 % to 12.3 % between these periods.