eng Science and Education Publishing Applied Ecology and Environmental Sciences 2013-12-01 1 6 126 132 10.12691/aees-1-6-5 AEES2013165 article Praveen Subedi praveensubedi@ufl.edu 1 Kabiraj Subedi 2 Bina Thapa 3 School of Forest Resources and Conservation, University of Florida, Gainesville, FL Department of Geography, P.N. Campus, Tribhuvan University, Nepal Department of Earth and Environment, Florida International University, Miami, FL 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. http://pubs.sciepub.com/aees/1/6/5/aees-1-6-5.pdf CA-Markov modelland-use changepredictionaccuracy