An adapted Markov-Chain Model is used to predict the possible probability distributions.
-3->DISTANCE=2,[GRID02]=testgrid(DISTANCE) DISTANCE = 2. GRID02 = !. . . . . ! ! ! !. . . . . ! ! ! !. . F . . ! ! ! !. . . . . ! ! ! !. . . . . ! -3->[W02]=transprob(GRID02) W02 = column 1 to 17 0.6666667 0.1111111 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.4444444 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.4444444 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.4444444 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.6666667 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0.4444444 0.1111111 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0. 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0. 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0.1111111 0.4444444 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0.4444444 0.1111111 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0.1111111 0.4444444 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0.4444444 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. column 18 to 25 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0.1111111 0.4444444 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0.6666667 0.1111111 0. 0. 0. 0.1111111 0. 0. 0.1111111 0.4444444 0.1111111 0. 0. 0.1111111 0.1111111 0. 0. 0.1111111 0.4444444 0.1111111 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.4444444 0.1111111 0. 0.1111111 0.1111111 0. 0. 0. 0.1111111 0.6666667 -3->W022=W02' W022 = column 1 to 17 0.6666667 0.1111111 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.4444444 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.4444444 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.4444444 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.6666667 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0.4444444 0.1111111 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0. 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0. 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0.1111111 0.4444444 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0.4444444 0.1111111 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0.1111111 0.4444444 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0.4444444 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. column 18 to 25 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0. 0. 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.1111111 0.1111111 0. 0.1111111 0.4444444 0. 0. 0. 0.1111111 0.1111111 0. 0. 0. 0.6666667 0.1111111 0. 0. 0. 0.1111111 0. 0. 0.1111111 0.4444444 0.1111111 0. 0. 0.1111111 0.1111111 0. 0. 0.1111111 0.4444444 0.1111111 0. 0.1111111 0.1111111 0.1111111 0. 0. 0.1111111 0.4444444 0.1111111 0. 0.1111111 0.1111111 0. 0. 0. 0.1111111 0.6666667 -3->INPUT2=[1 0 0 0 0; 0 0 0 0 0; 0 0 0 0 0; 0 0 0 0 0; 0 0 0 0 0] INPUT2 = 1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. -3->SHOW=0,RUNS=50,[OUTPUT]=fieldprob(W022,INPUT,RUNS, SHOW) OUTPUT = column 1 to 18 0.0405487 0.0404026 0.0402253 0.0400678 0.0399905 0.0404026 0.0402975 0.0401410 0.0399969 0.0399218 0.0402253 0.0401410 0.04 0.0398590 0.0397747 0.0400678 0.0399969 0.0398590 column 19 to 25 0.0397087 0.0396079 0.0399905 0.0399218 0.0397747 0.0396079 0.0394703 -3->SHOW=0,RUNS=60,[OUTPUT]=fieldprob(W022,INPUT,RUNS, SHOW) OUTPUT = column 1 to 18 0.0401716 0.0401262 0.0400711 0.0400223 0.0399986 0.0401262 0.0400934 0.0400445 0.0399995 0.0399762 0.0400711 0.0400445 0.04 0.0399555 0.0399289 0.0400223 0.0399995 0.0399555 column 19 to 25 0.0399075 0.0398753 0.0399986 0.0399762 0.0399289 0.0398753 0.0398312 -3->st_deviation(OUTPUT) ans = 0.0000838 -3->SHOW=0,RUNS=55,[OUTPUT]=fieldprob(W022,INPUT,RUNS, SHOW) OUTPUT = column 1 to 18 0.0403066 0.0402252 0.0401266 0.0400390 0.0399964 0.0402252 0.0401666 0.0400792 0.0399988 0.0399570 0.0401266 0.0400792 0.04 0.0399208 0.0398734 0.0400390 0.0399988 0.0399208 column 19 to 25 0.0398358 0.0397787 0.0399964 0.0399570 0.0398734 0.0397787 0.0397007 -->run55=[ 0.0403066 0.0402252 0.0401266 0.0400390 0.0399964 0.0402252 0.0401666 0.0400792 0.0399988 0.0399570 0.0401266 0.0400792 0.04 0.0399208 0.0398734 0.0400390 0.0399988 0.0399208 0.0398358 0.0397787 0.0399964 0.0399570 0.0398734 0.0397787 0.0397007 ] run55 = column 1 to 11 0.0403066 0.0402252 0.0401266 0.040039 0.0399964 0.0402252 0.0401666 0.0400792 0.0399988 0.039957 0.0401266 column 12 to 23 0.0400792 0.04 0.0399208 0.0398734 0.040039 0.0399988 0.0399208 0.0398358 0.0397787 0.0399964 0.039957 0.0398734 column 24 to 25 0.0397787 0.0397007 -->st_deviation(run55) ans = 0.0001491 -->run60=[0.0401716 0.0401262 0.0400711 0.0400223 0.0399986 0.0401262 0.0400934 0.0400445 0.0399995 0.0399762 0.0400711 0.0400445 0.04 0.0399555 0.0399289 0.0400223 0.0399995 0.0399555 0.0399075 0.0398753 0.0399986 0.0399762 0.0399289 0.0398753 0.0398312] run60 = column 1 to 11 0.0401716 0.0401262 0.0400711 0.0400223 0.0399986 0.0401262 0.0400934 0.0400445 0.0399995 0.0399762 0.0400711 column 12 to 23 0.0400445 0.04 0.0399555 0.0399289 0.0400223 0.0399995 0.0399555 0.0399075 0.0398753 0.0399986 0.0399762 0.0399289 column 24 to 25 0.0398753 0.0398312 -->st_deviation(run60) ans = 0.0000838 -->run50=[0.0405487 0.0404026 0.0402253 0.0400678 0.0399905 0.0404026 0.0402975 0.0401410 0.0399969 0.0399218 0.0402253 0.0401410 0.04 0.0398590 0.0397747 0.0400678 0.0399969 0.0398590 0.0397087 0.0396079 0.0399905 0.0399218 0.0397747 0.0396079 0.0394703 ] run50 = column 1 to 11 0.0405487 0.0404026 0.0402253 0.0400678 0.0399905 0.0404026 0.0402975 0.040141 0.0399969 0.0399218 0.0402253 column 12 to 23 0.040141 0.04 0.039859 0.0397747 0.0400678 0.0399969 0.039859 0.0397087 0.0396079 0.0399905 0.0399218 0.0397747 column 24 to 25 0.0396079 0.0394703 -->st_deviation(run50) ans = 0.0002654 -->0.04*55 ans = 2.2