1. Ballestores, J.F., Qiu, Z., Nedorezova, B.N., Nedorezov, L.V., Ferrarini, A., Ramathilaga, A., Ackah, M.: An integrated parcel-based land use change model using cellular automata and decision tree. Proc. Int. Acad. Ecol. Environ. Sci. 2(2), 53–69 (2012)
2. Tayyebi, A., Perry, P.C., Tayyebi, A.H.: Predicting the expansion of an urban boundary using spatial logistic regression and hybrid raster-vector routines with remote sensing and GIS. Int. J. Geogr. Inf. Sci. 28(4), 1–21 (2013)
3. Ralha, C.G., Abreu, C.G., Coelho, C.G., Zaghetto, A., Macchiavello, B., Machado, R.B.: A multi-agent model system for land-use change simulation. Environ. Model. Softw. 42, 30–46 (2013)
4. Li, X.: Neural-network-based cellular automata for simulating multiple land use changes using GIS. Int. J. Geogr. Inf. Sci. 16(4), 323–343 (2002)
5. Razavi, B.S.: Predicting the trend of land use changes using artificial neural network and Markov chain model (Case Study: Kermanshah City). Res. J. Environ. Earth Sci. 6(4), 215–226 (2014)