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Modern Geomatics Technologies and Applications

          As A is the transition matrix of the region,     is the sum of the regions from i to j  over the years from the starting point to the
                                                 
          target simulation courses and n is the number of land use types[20].
             3.4  Cramer’s V

                 The Cramer's V method is a statistical method that shows that although the potential explanatory value of a variable is
          good, it does not guarantee strong performance because it cannot guarantee the mathematical needs of the modeling approach
          used and its complexity. If the value of Cramer's V is very low, the variable can be omitted. For good modeling, there should not
          be much dependence between the variables.

                      2
                                                                                     2
                 The     test can also be used to show the dependence between two variables, but the     test is very sensitive to the size
          of the sample [21]. For this reason, Cramer's V test is used to measure the strength of the relationship between variables [22].
                                                   2
          The V-Cramer test can be taken directly from the     statistical test.
                 In this method, the number between 0.1 to 0.4 represents the factor with the desired effect, higher than 0.4 indicates
          the factor with the very desired effect and lower than 0.4 indicates the factor with the adverse effect or no effect.

             3.4  Comparison matrix
                 Usually,  two  criteria  of  overall  accuracy  and  Kappa  index  have  been  used  in  many  studies  to  express  simulation
          accuracy, which indicate the correspondence between reality and simulated model. One of the advantages of the Kappa index is
          the use of all comparison matrix values to calculate accuracy [16]. How to calculate the overall accuracy and Kappa index is
          shown using the comparison matrix in Equations (8) and (9):
                                                                ∑      =1        
                                                                             =      (8)
                                                                       

                                                      ∑      =1     − ∑      =1       
                                                                            
                                                               
                                                        =                  (9)
                                                        1 − ∑        
                                                               =1           
                 In the above equations    = 1.2 … .     represents the land cover classes in the region and      represents the pixels of the
                                                                                            
          land cover classes     in reality, which in the simulated model are also in the land cover classes      .     is the total number of
                                                                                               
                                                                                           ℎ
                            ℎ
          pixels and     represents the pixels of the     land cover classes are actually in the simulated model in the     land cover classes,
                        
                                              ℎ
                                                                                                 ℎ
          and     represents the sum of the     class pixels in reality and     represents the sum of the     class pixels in the simulated
                                                                                         ℎ
                   
                                        ℎ
                                                                   
          model.
          4.  Experimental results
             4.1.  Editing land use map
                 The existing maps for 1996 and 2006 had 21 classes and the 2016 map had 18 classes that needed to be re-classified,
          and finally, the maps were produced with the same classification. This re-classification was done in the ArcGIS environment.
















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