Marques-Carvalho, R.;                     Almeida, C.M.d.;                     Escobar-Silva, E.V.;                     Oliveira Alves, R.B.d.;                     Anjos Lacerda, C.S.d.    
        Simulation and Prediction of Urban Land Use Change Considering Multiple Classes and Transitions by Means of Random Change Allocation Algorithms. Remote Sens. 2023, 15, 90.
    https://doi.org/10.3390/rs15010090
    AMA Style
    
                                Marques-Carvalho R,                                 Almeida CMd,                                 Escobar-Silva EV,                                 Oliveira Alves RBd,                                 Anjos Lacerda CSd.        
                Simulation and Prediction of Urban Land Use Change Considering Multiple Classes and Transitions by Means of Random Change Allocation Algorithms. Remote Sensing. 2023; 15(1):90.
        https://doi.org/10.3390/rs15010090
    
    Chicago/Turabian Style
    
                                Marques-Carvalho, Rômulo,                                 Cláudia Maria de Almeida,                                 Elton Vicente Escobar-Silva,                                 Rayanna Barroso de Oliveira Alves,                                 and Camila Souza dos Anjos Lacerda.        
                2023. "Simulation and Prediction of Urban Land Use Change Considering Multiple Classes and Transitions by Means of Random Change Allocation Algorithms" Remote Sensing 15, no. 1: 90.
        https://doi.org/10.3390/rs15010090
    
    APA Style
    
                                Marques-Carvalho, R.,                                 Almeida, C. M. d.,                                 Escobar-Silva, E. V.,                                 Oliveira Alves, R. B. d.,                                 & Anjos Lacerda, C. S. d.        
        
        (2023). Simulation and Prediction of Urban Land Use Change Considering Multiple Classes and Transitions by Means of Random Change Allocation Algorithms. Remote Sensing, 15(1), 90.
        https://doi.org/10.3390/rs15010090