|  | Besag-Newell's R | Cuzick-Edwards' k-NN | Spatial Scan Statistic | Tango's MEET | Swartz' Entropy Test | Moran's | Whittemore's Test | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 |  | k = 6 | 12 | 30 | 100K | 500K | 1000K |  |  |  | I | I mod |  |
Rural (edge) | 1 | 0.707 | 0.388 | 0.089 | 0.752 | 0.168 | 0.038 | 0.998 | 0.196 | 0.939 | 0.000 | 0.315 | 0.010 |
 | 2 | 0.792 | 0.466 | 0.074 | 0.810 | 0.199 | 0.049 | 0.991 | 0.221 | 0.804 | 0.743 | 0.793 | 0.006 |
 | 4 | 0.839 | 0.754 | 0.239 | 0.874 | 0.425 | 0.109 | 0.973 | 0.229 | 0.607 | 0.449 | 0.505 | 0.004 |
 | 8 | 0.830 | 0.854 | 0.309 | 0.851 | 0.540 | 0.157 | 0.971 | 0.213 | 0.639 | 0.752 | 0.814 | 0.002 |
 | 16 | 0.821 | 0.880 | 0.505 | 0.758 | 0.621 | 0.247 | 0.969 | 0.229 | 0.706 | 0.715 | 0.806 | 0.004 |
Mixed (corner) | 1 | 0.037 | 0.023 | 0.983 | 0.648 | 0.919 | 0.899 | 0.936 | 0.925 | 0.270 | 0.053 | 0.045 | 0.000 |
 | 2 | 0.129 | 0.024 | 0.989 | 0.655 | 0.886 | 0.913 | 0.939 | 0.896 | 0.289 | 0.059 | 0.051 | 0.000 |
 | 4 | 0.157 | 0.095 | 0.980 | 0.645 | 0.822 | 0.931 | 0.937 | 0.838 | 0.269 | 0.078 | 0.061 | 0.000 |
 | 8 | 0.217 | 0.222 | 0.956 | 0.608 | 0.777 | 0.903 | 0.941 | 0.817 | 0.291 | 0.130 | 0.099 | 0.000 |
 | 16 | 0.293 | 0.284 | 0.914 | 0.598 | 0.715 | 0.838 | 0.949 | 0.832 | 0.354 | 0.193 | 0.165 | 0.000 |
Urban (central) | 1 | 0.037 | 0.027 | 0.952 | 0.627 | 0.856 | 0.893 | 0.922 | 0.941 | 0.264 | 0.049 | 0.045 | 0.296 |
 | 2 | 0.033 | 0.214 | 0.819 | 0.587 | 0.786 | 0.937 | 0.903 | 0.920 | 0.245 | 0.056 | 0.049 | 0.334 |
 | 4 | 0.026 | 0.049 | 0.190 | 0.378 | 0.684 | 0.864 | 0.892 | 0.961 | 0.119 | 0.052 | 0.043 | 0.579 |
 | 8 | 0.022 | 0.022 | 0.459 | 0.292 | 0.637 | 0.817 | 0.913 | 0.983 | 0.078 | 0.061 | 0.043 | 0.758 |
 | 16 | 0.015 | 0.059 | 0.368 | 0.257 | 0.648 | 0.795 | 0.926 | 0.986 | 0.047 | 0.069 | 0.045 | 0.887 |
Rural and Mixed | 1 | 0.624 | 0.270 | 0.981 | 0.956 | 0.943 | 0.860 | 1.000 | 0.964 | 0.975 | 0.000 | 0.310 | 0.000 |
 | 2 | 0.803 | 0.356 | 0.987 | 0.969 | 0.926 | 0.891 | 0.999 | 0.952 | 0.923 | 0.727 | 0.780 | 0.000 |
 | 4 | 0.841 | 0.739 | 0.983 | 0.977 | 0.930 | 0.929 | 0.997 | 0.930 | 0.813 | 0.460 | 0.508 | 0.000 |
 | 8 | 0.867 | 0.906 | 0.972 | 0.973 | 0.939 | 0.916 | 0.996 | 0.931 | 0.849 | 0.767 | 0.823 | 0.000 |
 | 16 | 0.857 | 0.938 | 0.970 | 0.949 | 0.939 | 0.891 | 0.996 | 0.941 | 0.914 | 0.729 | 0.810 | 0.000 |
Mixed and Urban | 1 | 0.020 | 0.012 | 0.999 | 0.929 | 0.997 | 0.998 | 0.987 | 0.998 | 0.545 | 0.049 | 0.041 | 0.009 |
 | 2 | 0.084 | 0.132 | 0.995 | 0.918 | 0.990 | 0.998 | 0.984 | 0.995 | 0.499 | 0.057 | 0.045 | 0.012 |
 | 4 | 0.082 | 0.069 | 0.946 | 0.807 | 0.962 | 0.996 | 0.966 | 0.991 | 0.303 | 0.080 | 0.048 | 0.034 |
 | 8 | 0.107 | 0.114 | 0.915 | 0.710 | 0.935 | 0.987 | 0.954 | 0.990 | 0.222 | 0.136 | 0.073 | 0.070 |
 | 16 | 0.120 | 0.167 | 0.803 | 0.616 | 0.897 | 0.969 | 0.935 | 0.984 | 0.199 | 0.212 | 0.135 | 0.138 |
Rural and Urban | 1 | 0.619 | 0.272 | 0.954 | 0.949 | 0.902 | 0.868 | 1.000 | 0.970 | 0.974 | 0.000 | 0.309 | 0.096 |
 | 2 | 0.709 | 0.665 | 0.823 | 0.955 | 0.854 | 0.919 | 0.999 | 0.962 | 0.909 | 0.712 | 0.771 | 0.097 |
 | 4 | 0.731 | 0.644 | 0.261 | 0.947 | 0.863 | 0.855 | 0.992 | 0.971 | 0.671 | 0.436 | 0.472 | 0.206 |
 | 8 | 0.676 | 0.689 | 0.546 | 0.911 | 0.879 | 0.826 | 0.991 | 0.977 | 0.602 | 0.726 | 0.770 | 0.365 |
 | 16 | 0.591 | 0.725 | 0.521 | 0.803 | 0.892 | 0.834 | 0.987 | 0.975 | 0.561 | 0.659 | 0.726 | 0.562 |
Rural, Mixed and Urban | 1 | 0.541 | 0.185 | 0.998 | 0.992 | 0.998 | 0.994 | 1.000 | 0.999 | 0.991 | 0.000 | 0.291 | 0.002 |
 | 2 | 0.735 | 0.565 | 0.993 | 0.994 | 0.994 | 0.997 | 1.000 | 0.998 | 0.960 | 0.697 | 0.755 | 0.001 |
 | 4 | 0.735 | 0.611 | 0.949 | 0.987 | 0.984 | 0.995 | 0.996 | 0.994 | 0.799 | 0.433 | 0.456 | 0.003 |
 | 8 | 0.728 | 0.759 | 0.922 | 0.972 | 0.980 | 0.984 | 0.992 | 0.989 | 0.759 | 0.730 | 0.769 | 0.007 |
 | 16 | 0.642 | 0.766 | 0.840 | 0.909 | 0.962 | 0.962 | 0.977 | 0.983 | 0.744 | 0.672 | 0.737 | 0.023 |