Dear Thierry, Thank you very much. Ya it worked after waiting for so long time. But i am bit confused with the result! as my data set have 12m interval both x and y direction but the result confused me. Please have a look at:
A<-read.table(file.choose(new=FALSE), sep = "",skip=8,header=FALSE) names(A) <- c("x", "y", "B1", "B2", "B3","B4") coordinates(A) = ~x+y multi.B1<-variogram(B1~1,A,cutoff=900,width=900/75) np dist gamma dir.hor dir.ver id 1 25787 12.00000 0.752162 0 0 var1 2 51121 20.47311 1.221768 0 0 var1 3 101128 30.88327 1.619131 0 0 var1 4 124887 42.06986 1.928595 0 0 var1 5 197097 54.62838 2.156677 0 0 var1 6 194568 66.41369 2.379286 0 0 var1 7 216263 77.36992 2.565400 0 0 var1 8 284640 89.03116 2.741651 0 0 var1 9 327546 101.47472 2.909422 0 0 var1 10 368941 114.30173 3.102598 0 0 var1 11 341444 125.90697 3.253646 0 0 var1 12 359740 136.83802 3.394513 0 0 var1 13 487704 149.17028 3.547925 0 0 var1 14 458986 161.65795 3.696460 0 0 var1 15 516979 174.05841 3.830030 0 0 var1 16 467654 185.61197 3.950553 0 0 var1 17 545094 197.36628 4.045188 0 0 var1 18 558151 209.10140 4.144645 0 0 var1 19 611329 221.31701 4.238536 0 0 var1 20 642082 233.83439 4.299180 0 0 var1 21 573995 245.37414 4.381711 0 0 var1 22 701980 257.43136 4.440050 0 0 var1 23 653177 269.39860 4.498575 0 0 var1 24 662858 280.96648 4.559449 0 0 var1 25 782710 293.37249 4.598319 0 0 var1 26 734099 305.80475 4.661076 0 0 var1 27 758545 317.89705 4.690370 0 0 var1 28 729424 329.53809 4.722301 0 0 var1 29 770677 341.29301 4.756048 0 0 var1 30 827171 353.40681 4.788053 0 0 var1 31 763681 365.17740 4.804809 0 0 var1 32 867556 377.27490 4.818092 0 0 var1 33 820790 389.36902 4.814221 0 0 var1 34 871135 401.55838 4.845699 0 0 var1 35 903690 413.89995 4.859944 0 0 var1 36 780131 425.58438 4.834652 0 0 var1 37 919673 437.36106 4.859374 0 0 var1 38 829077 449.15611 4.845376 0 0 var1 39 976579 461.47362 4.880976 0 0 var1 40 900637 473.87543 4.870087 0 0 var1 41 842986 485.48995 4.822779 0 0 var1 42 925059 497.16533 4.895648 0 0 var1 43 908832 509.18633 4.881247 0 0 var1 44 971939 521.48452 4.918811 0 0 var1 45 940171 533.83055 4.917633 0 0 var1 46 857978 545.52671 4.913350 0 0 var1 47 943524 557.14822 4.978700 0 0 var1 48 913367 569.09736 4.968081 0 0 var1 49 955569 581.16264 5.043027 0 0 var1 50 960817 593.48802 5.009046 0 0 var1 51 964084 605.91731 5.060457 0 0 var1 52 932778 618.01381 5.088448 0 0 var1 53 880180 629.75509 5.102924 0 0 var1 54 927433 641.40924 5.187843 0 0 var1 55 897814 653.25838 5.199555 0 0 var1 56 973271 665.47394 5.268680 0 0 var1 57 890084 677.51149 5.294351 0 0 var1 58 931011 689.55286 5.339998 0 0 var1 59 880246 701.38867 5.416068 0 0 var1 60 909203 713.31847 5.483117 0 0 var1 61 925180 725.53913 5.556788 0 0 var1 62 876367 737.58148 5.599851 0 0 var1 63 882073 749.57082 5.691683 0 0 var1 64 878718 761.49972 5.766823 0 0 var1 65 900326 773.79158 5.831150 0 0 var1 66 835105 785.79296 5.926944 0 0 var1 67 815700 797.36346 5.973193 0 0 var1 68 858417 809.34981 6.075622 0 0 var1 69 859636 821.53264 6.129619 0 0 var1 70 799218 833.61832 6.208720 0 0 var1 71 807196 845.36268 6.312469 0 0 var1 72 765225 857.04963 6.377530 0 0 var1 73 848304 869.31087 6.498376 0 0 var1 74 783936 881.65223 6.554314 0 0 var1 75 774678 893.82201 6.650763 0 0 var1 The "dist" column confused me. The increment is not 12m! as my data set is 12m grid so how it come? As in the command for "variogram" i didn't put any tolerance for angular and linear(distance)so that why i am confused! I hope you will provide me insight of the computational procedure of "variogram" function. Actually i want to compare the result of R with gslib90 ( A program for variogram calculation) Thanking you Pujan _________________________________________________________________ esh_messenger_052008 [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-geo