A Test of the Markov Prediction Model: The Case of Isparta

Projections and predictions of urban growth provide information that can lead to a certain level preparedness for making cities resilient sustainable. To ascertain the degree confidence in predicting growth, this paper back-tests Cellular Automata (CA)-Markov Prediction Model (PM) by comparing results model 2010 2020 with actual land-use patterns Isparta same years. The data used are Landsat images 1990, 2000, 2010, 2020. were classified perform CA-Markov PM. findings show successive changes land use display average proximity PM results, strong positive correlations 0.8559 0.8494 It is therefore attested amongst other models be as mathematical simulating Isparta.