Arabi Aliabad, F, Zare, M, Ghafarian Malmiri, H.R (2021), prediction of land cover changes using integrated Markov chain model and automatic cells (case study: Shirkoh area), Geography and Development, 19(62) ), 251-270. (In Persian).
Ashraf Abdelkarim (2023). Monitoring and forecasting of land use/land cover (LULC) in Al-Hassa Oasis, Saudi Arabia based on the integration of the Cellular Automata (CA) and the Cellular Automata-Markov Model (CA-Markov), Geology, Ecology, and Landscapes.
Aung, TS., Fischer, T.B., & Buchanan, J (2020). Land use and land cover changes along the ChinaMyanmar Oil and Gas pipelines, Monitoring infrastructure development in remote conflictprone regions, 15 (8), e0237806.
Baqa, M.F., Chen, F., Lu, L., Qureshi, S., Tariq, A., Wang, S., Jing, L., Hamza, S., & Li, Q (2021). Monitoring and Modeling the Patterns and Trends of Urban Growth Using Urban Sprawl Matrix and CA-Markov Model: A Case Study of Karachi, Pakistan, Land 10, 700.
Dey, N.N., Al Rakib, A., Al Kafy, A., & Raikwar, V (2021). Geospatial modelling of changes in land use/land cover dynamics using Multi-layer perception Markov chain model in Rajshahi City, Bangladesh, Environmental Challenges, 4, 100148.
Feinstein AR, Cicchetti DV. High agreement but low kappa: I. the problems of two paradoxes. J Clin Epidemiol. 1990; 43(6):543–9.
https://doi.org/10.1016/0895-4356 (90)90158-l PMID: 2348207.
Ghosh, S., Das Chatterjee, N., & Dinda, S (2021). Urban ecological security assessment and forecasting using integrated DEMATEL-ANP and CA-Markov models: A case study on Kolkata Metropolitan Area, India, Sustainable Cities and Society, 68, 102773.
Huang, Y., Yang, B., Wang, M., Liu, B., & Yang, X (2020). Analysis of the future land cover change in Beijing using CA–Markov chain model, Environmental Earth Sciences, 79, 60.
Doi: 10.1007/s12665-019-8785-z
Jafarzadeh, K; Sabzegbaei G; Yousefi, Soltanian, S.S (2017), Modeling urban structure changes with a spatial planning approach to achieve sustainable urban development (Case study: Qaim Shahr city), "Sephar" geographic information. 27(107), 209-222. (In Persian).
https://ensani.ir/file/download/article/1552729691-9987-107-14.pdf
Ji, G., Lai, Z., Xia, H., Liu, H., & Wang, Z (2021). Future Runoff Variation and Flood Disaster Prediction of the Yellow River Basin Based on CA-Markov and SWAT, Land, 10, 421.
Karimzadeh Mutlaq, Z, Lotfi, A, Pourmanafi, S (2019), Modeling sustainable land use allocation in Greater Isfahan using multi-criteria assessment in the environment, GIS, Geography and Environmental Sustainability, 10(2), 21-35 . (In Persian).
Khwarahm, N.R. Qader, S., Ararat, K., & Al-Quraishi, A.M.F (2020). Predicting and mapping land cover/land use changes in Erbil /Iraq using CA-Markov synergy model, Earth Science Informatics, 14, 393- 406.
Kiyani Salmi, E, Ebrahimi, A (2017), Evaluation of land cover changes in Shahrekord and its future prediction using telemetry data and CA-Markov model, Spatial Planing, 8(1), 88-71. (In Persian).
Li, Q., Wang, L., Gul, H.N., & Li, D (2021). Simulation and optimization of land use pattern to embed ecological suitability in an oasis region: A case study of Ganzhou district, Gansu province, China, Journal of Environmental Management, 287, 112321.
Matlhodi, B., Kenabatho, P.K., Parida, B.P., & Maphanyane, J.G (2021). Analysis of the Future Land Use Land Cover Changes in the Gaborone Dam Catchment Using CA-Markov Model: Implications on Water Resources, remote sensing, 13, 2427.
Motlagh, Z.K., Lotfi, A., Pourmanafi, S., Ahmadizadeh, S., & Soffianian, A (2020). Spatial modeling of land-use changes in a rapidly urbanizing landscape in central Iran: integration of remote sensing, CA Markov, and landscape metrics, Environmental Monitoring and Assessment, 192, 695.
Munthali, M.G., Mustak, S., Adeola, A., Botai, J., Singh, S.K., & Davis, N (2020). Modelling land use and land cover dynamics of Dedza district of Malawi using hybrid Cellular Automata and Markov model, Remote Sensing Applications: Society and Environment, 17, 100276.
Rahnama, M.R (2021). Forecasting land-use changes in Mashhad Metropolitan area using Cellular Automata and Markov chain model for 2016-2030, Sustainable Cities and Society, 64, 102548.
Rahnama, M. R, Shahbazi, A. H, Sargazi, Z (2023), simulation of land use changes in Zahedan Pirasher, development of peri-urban spaces. 1(9): 1-16. (In Persian).
Rimal, B.; Zhang, L.; Keshtkar, H.; Haack, B.N.; Rijal, S.; Zhang, P (2018). Land Use/Land Cover Dynamics and Modeling of Urban Land Expansion by the Integration of Cellular Automata and Markov Chain. ISPRS Int. J. Geo-Inf. 7(4), 154.
Ruben, G.B., Zhang, K., Dong, Z., & Xia, J (2020). Analysis and Projection of Land-Use/LandCover Dynamics through Scenario-Based Simulations Using the CA-Markov Model: A Case Study in Guanting Reservoir Basin, China, Sustainability, 12 (9), 3747.
Salehi, N; Ekhtesasi M.R; Talebi, A (2018), predicting the trend of land use changes using the Markov CA model (case study: Safaroud Ramsar watershed), remote sensing and geographic information system in natural resources. 10(1), 106-120. (In Persian).
https://journals.iau.ir/article_665232_b344efcf0e5b8dc9062dfd046db2f7ce.pdf
Sarli, R, Roshan, G.R, Garb, S (2018), measuring and forecasting changes in the vegetation cover of Mazandaran province during the period of 2005-2017, using Markov chain and GIS, Sepehr Geographic Information, 28(111), 149-162. (In Persian).
https://ensani.ir/file/download/article/1578471377-9987-111-10.pdf
Silver, D., & Silva, TH (2021). A Markov model of urban evolution: Neighbourhood change as a complex process, PLoS ONE, 16 (1), e0245357.
Traore, Arafan; Mawenda, John; Komba, Atupelye W (2018). Land-Cover Change Analysis and Simulation in Conakry (Guinea), Using Hybrid Cellular-Automata and Markov Model. Urban Sci. Volume 2, Issue 2.
https://doi.org/10.3390/urbansci2020039
Tang, F., Fu, M., Wang, L., Song, W., Yu, J., & Wu, Y (2021). Dynamic evolution and scenario simulation of habitat quality under the impact of land-use change in the Huaihe River Economic Belt, China, PLoS ONE, 16 (4), e0249566.
Tariq, A., & Shu, H (2020). CA-Markov Chain Analysis of Seasonal Land Surface Temperature and Land Use Land Cover Change Using Optical Multi-Temporal Satellite Data of Faisalabad, Pakistan Aqil Tariq and Hong Shu, remote sensing, 12, 3402.
Vinayak, B., Lee, H.S., & Gedem, S (2021). Prediction of Land Use and Land Cover Changes in Mumbai City, India, Using Remote Sensing Data and a Multilayer Perceptron Neural Network-Based Markov Chain Model, Sustainability, 13 (2), 471.
Wang, H., & Hu, Y (2021). Simulation of Biocapacity and Spatial-Temporal Evolution Analysis of Loess Plateau in Northern Shaanxi Based on the CA–Markov Model, Sustainability, 13, 5901.
Wang, S.W., Munkhnasan, L., & Lee, W (2021). Land use and land cover change detection and prediction in Bhutan’s high-altitude city of Thimphu, using cellular automata and Markov chain, Environmental Challenges, 2, 100017.
Yousefi, M; Makaniki, J, Ashrafi, A, Nissani Samani, N (2016), Revealing and modeling land use changes using remote sensing data, Markov chain model and automatic cells (case study: Bojnoord city), Space Geographic Survey 7 26), 1-16. (In Persian).
Yousheng W, Xinxiao Y, Kangning H, Qingyun L, Yousong Z, Siming S. Dynamic simulation of land use change in Jihe watershed based on CA-Markov model. Transactions of the Chinese Society of Agricultural Engineering. 2011; 2011(12).
https://doi.org/10.3969/j.issn.1002-6819.2011.12.062.
Zhou, L., Dang, X., Sun, Q., & Wang, S (2020). Multi-scenario simulation of urban land change in Shanghai by random forest and CA-Markov model, Sustainable Cities and Society, 55, 102045.
https://www.sciencedirect.com/science/article/abs/pii/S2210670720300329