Aburas, M. M., Ho, Y.-M., Firuz Ramli, M. & Ash’aari, Z.H. (2017) Improving the Capability of an Integrated CA-Markov Model to Simulate Spatio-Temporal Urban Growth Trends Using an Analytical Hierarchy Process and Frequency Ratio.
International Journal of Applied Earth Observation and Geoinformation, 59, 65-78. DOI:
https://doi.org/10.1016/j.jag.2017.03.006
Acheampong, M., Yu, Q., Enomah, L.D., Anchang, J., & Eduful, M. (2018). Land use/cover change in Ghana’s oil city: Assessing the impact of neoliberal economic policies and implications for sustainable development goal number one-A remote sensing and GIS approach.
Land Use Policy, 73, 373-384.
DOI: https://doi.org/10.1016/j.landusepol.2018.02.019
Agyemang, F.S.K., Silva, E., & Fox, S. (2023). Modelling and simulating ‘informal urbanization’: An integrated agent-based and cellular automata model of urban residential growth in Ghana.
Urban Analytics and City Science, 50(4), 863-877.
DOI: https://doi.org/10.1177/23998083211068843
Alijani, Z., Hosseinali, F., & Biswas, A. (2020). Spatio-temporal evolution of agricultural land use change drivers: A case study from Chalous region, Iran.
Journal of Environmental Management, 262, 110326.
DOI: https://doi.org/10.1016/j.jenvman.2020.110326
Arkhi, S., & Esfahani, M. (2019). Forecasting land use changes using multi-temporal images and the Marko chain model (Case Study: Ilam city).
Geography and Territorial Spatial Arrangement, 9(30), 95-112. (In Persian).
DOI: 10.22111/gaij.2019.4529
Azizi, P., Bagheri, F., Sharifi, Sh., & Mikaeili, M. (2022). An Integrated Modelling Approach to Urban Growth and Land Use/Cover Change. Land, 11, 17-15. DOI: https://doi.org/10.3390/ land11101715
Bantider, A., Hurni, H., & Zeleke, G. (2011). Responses of rural households to the impacts of population and land-use changes along the Eastern Escarpment of Wello, Ethiopia.
Norsk Geografisk Tidsskrift, 65, 42–53.
DOI: https://doi.org/10.1080/00291951.2010.549954
Derakhsh, M., & Sobhanardakani, S. (2022). Simulation of the Spatial Pattern of Land Use Change in the City of Gachsaran Using Cellular Automata Model. Human and Environment, 20(3), 83 - 97. (In Persian)
Entahabu, H.H., Minale, A.S., & Birhane, E. (2023). Modeling and Predicting Land Use/Land Cover Change Using the Land Change Modeler in the Suluh River Basin, Northern Highlands of Ethiopia.
Sustainability, 15, 8202.
DOI: https://doi.org/10.3390/su15108202
Farahmand, S., & Akbari, N. (2008). Spatial Analysis of Urban Development in Iran. Iranian Journal of Economic Research, 10(34), 73-98.
Guvel, S.P., Akgul, M.A., & Akkoyunlu, M.F. (2023). Monitoring and Evaluation of 2015 Devrek Zonguldak Landslide within the scope of Flood Risk Assessment by Landsat-8 Satellite Data.
Journal of Natural Hazards and Environment, 9(1), 81-89. DOI:
https://doi.org/10.21324/dacd.1152670
Hassan, M.I. & Elhassan, S.M.M. (2020) Modelling of Urban Growth and Planning: A Critical Review.
Journal of Building Construction and Planning Research, 8, 245-262.
DOI:10.4236 /jbcpr.2020.84016
Jadawala, S.H., Shukla, S.H., & Tiwari, P.S. (2021). Cellular Automata and Markov Chain Based Urban Growth Prediction,
International Journal of Environment and Geoinformatics, 8(3), 337-343.
DOI: https://doi.org/10.30897/ijegeo.781574
Kabat, P., Claussen, M., Dirmeyer, P.A., Gash, J.H., de Guenni, L.B., & et al. (Eds.) (2004). Vegetation, Water, Humans and the Climate: A New Perspective on an Internactive System.
Springer Science & Business Media, Berlin/Heidelberg, Germany. DOI:
https://doi.org/10.1007 /978-3-642-18948-7
Karimzadeh Motlagh, Z., Lotfi, A., Pourmanafi, S., & Ahmadizadeh, S. (2022). Evaluation and Prediction of Land-Use Changes using CA_Markov Model.
Geography and Environmental Planning, 33 (2), 1-6. (In Persian)
DOI: 10.22108/gep.2022.130601.1458
Khan, F., Das, B., & Mohammad, P. (2022). Urban Growth Modeling and Prediction of Land Use Land Cover Change Over Nagpur City, India Using Cellular Automata Approach. In: Rai, P.K. Mishra, V.N. Singh, P. (eds) Geospatial Technology for Landscape and Environmental Management.
Advances in Geographical and Environmental Sciences. DOI:
https://doi.org/10. 1007 /978-981-16-7373-3_13
Lia, J., Caoa, Y., Lib, Y., Chua, J., Wanga, Y., & Maa, M. (2023). Using EL-CA Model to Predict Multi-Scenario Land Sustainable Use Simulation and Urban Development.
Journal of Experimental Nanoscience, 18(1), 2170352. DOI:
https://doi.org/10.1080/17458080.2023.2170352
Mahmoudzadeh, H., Abedini, A., & Aram, F. (2022). Urban Growth Modeling and Land-Use/Land-Cover Change Analysis in a Metropolitan Area (Case Study: Tabriz).
Land, 11, 2162.
DOI: https://doi.org/10.3390/land11122162
Mamitimin, Y., Simayi, Z., Mamat, A., Maimaiti, B, & Ma, Y. (2023). FLUS Based Modeling of the Urban LULC in Arid and Semi-Arid Region of Northwest China: A Case Study of Urumqi City.
Sustainability,15, 4912.
DOI: https://doi.org/10.3390/su15064912
Mansour, S., Ghoneim, E., El-Kersh, A., Said, S., & Abdelnaby, S. (2023). Spatiotemporal Monitoring of Urban Sprawl in a Coastal City Using GIS-Based Markov Chain and Artificial Neural Network (ANN). Remote Sensing, 15, 601. DOI: https://doi.org/10.3390/rs15030601
Pilehvar, A.A. (2021). Spatial-geographical analysis of urbanization in Iran. Humanities and Social Sciences Communications. 8, 63. DOI: https://doi.org/10.1057/s41599-021-00741-w
Saaty, T. L. 1980. The Analytic Hierarchy Process. McGraw-Hill, New York. DOI: https://doi.org/ 10.1016/0270-0255(87)90473-8
Saeidi, S., Mirkarimi, SH., Mohammadzadeh, M., Salmanmahiny, A., & Arrowsmith, C. (2018). Designing an integrated urban growth prediction model: a scenario-based approach for preserving scenic landscapes.
Geocarto international, 33(12), 1381-1397.
DOI: https://doi.org/10.1080/10106049.2017.1353647
Salman Mahini, A.R., & Ghayab, H. (2018). Remote sensing and applied geographic information systems with address software. Tehran, Mehr Mahdis Publications.
Shooshtariana, M.R., Dehghanib, M., Margheritac, F., Conti Geac, O., & Mortezazadehd, S. (2018). Land use change and conversion effects on ground water quality trends: An integration of land change modeler in GIS and a new Ground Water Quality Index developed by fuzzy multi-criteria group decision-making models.
Food and Chemical Toxicology, 114, 204–214.
DOI: https://doi.org/10.1016/j.fct.2018.02.025
Ullah, N., Siddique, M.A., Ding, M., Grigoryan, S., Khan, I.A., Kang, Z., Tsou, S., Zhang, T., Hu, Y., & Zhang, Y. (2023). The Impact of Urbanization on Urban Heat Island: Predictive Approach Using Google Earth Engine and CA-Markov Modelling (2005–2050) of Tianjin City, China.
International Journal of Environmental Research and Public Health, 20, 2642.
DOI: https://doi.org/10.3390/ijerph20032642
United Nations (2018). World Urbanization Prospects: The 2018 Revisions.
Wang, Y., Tao, S., Chen, X., Huang, F., Xu, X., Liu, X., Liu, Y., & Liu, L. (2022). Method multi-criteria decision-making method for site selection analysis and evaluation of urban integrated energy stations based on geographic information system.
Renewable Energy, 194, 273-292.
DOI: https://doi.org/10.1016/j.renene.2022.05.087
Xu, C., Hu, X., Liu, Z., Wang, X., Tian, J., & Zhao, Z. (2023). Predicting the Evolution Trend of Water and Land Resource Carrying Capacity Based on CA–Markov Model in an Arid Region of Northwest China.
Sustainability, 15, 1269.
DOI: https://doi.org/10.3390/su15021269
Zhao, L., Liu, X., Xu, X., Liu, C., & Chen, K. (2022). Three-Dimensional Simulation Model for Synergistically Simulating Urban Horizontal Expansion and Vertical Growth.
Remote Sensing, 14, 1503.
DOI: https://doi.org/10.3390/rs14061503
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