I think you just got your latitudes and longitudes mixed up. Latitudes must be specified first in order and must be within [-90, 90].
Res.:
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input float(district_id1 x_stub1 y_stub1) 1 77.57578 14.484938 2 79.01996 13.46324 3 78.78391 14.461876 4 82.0033 17.190853 5 80.07764 16.291048 6 80.79324 16.568815 7 78.01077 15.522762 8 79.74493 14.42524 9 79.51898 15.611388 10 83.66933 18.534872 11 82.71606 17.879093 12 81.40018 16.892174 13 92.67226 24.683865 14 92.57874 26.71558 15 90.23173 26.291393 17 94.96799 27.42658 18 93.13989 26.046877 19 93.02378 25.3485 20 92.68436 26.22977 21 94.25702 26.72941 22 86.95314 25.04594 23 84.60091 26.878845 24 86.06253 26.107756 25 84.92094 24.800936 26 86.29471 25.16689 27 85.40443 26.18871 28 85.32538 25.35474 29 87.53761 25.91772 30 86.77 25.99135 31 84.55655 26.146526 32 84.03043 25.17149 33 81.26424 19.232664 34 82.28456 22.336386 35 81.10991 21.2673 36 83.55159 22.384794 37 82.21187 21.00315 38 82.93346 23.386633 44 73.71906 20.782715 45 72.662796 23.203684 58 77.11015 30.38144 59 77.03268 28.17054 60 75.5223 29.28937 61 76.31522 29.425783 62 76.75643 29.74056 63 76.15585 28.32321 64 76.68118 28.83104 65 76.67768 31.3584 66 76.46109 32.70605 67 76.33959 31.9426 68 78.40654 31.572264 69 77.39387 31.888023 70 77.75434 32.413715 71 77.65334 31.17899 72 77.00079 31.61929 73 76.91825 31.03793 74 77.4459 30.65933 75 75.12834 33.75286 76 74.4601 34.38276 77 75.84465 33.417263 78 74.82651 32.69138 79 75.57309 32.555298 80 78.02759 34.283478 81 74.30234 33.64733 82 74.38713 33.20358 83 74.87225 34.08359 84 75.07751 33.02404 85 86.40241 23.74969 86 85.58877 24.11807 87 84.10754 24.010754 88 84.89087 23.071264 89 87.245 24.493023 90 85.85558 22.54394 91 77.4726 12.913547 92 74.82811 16.113764 93 76.44615 15.046112 94 77.22865 17.942135 95 75.81337 16.560215 96 75.68145 13.428985 97 76.41669 14.223225 98 75.79681 12.323008 99 75.41306 15.144032 100 76.8756 17.054512 101 76.10504 12.978118 102 78.01498 13.370895 103 76.79259 12.604687 104 76.75268 12.079443 105 74.60293 14.774975 106 76.63239 15.87672 107 75.326836 14.036293 108 75.08897 13.120307 109 76.94049 13.513035 110 76.47502 9.438544 111 75.46492 12.129185 112 76.56656 10.01389 113 76.90978 9.106371 114 76.92366 9.794156 115 75.952866 11.549033 116 76.15894 11.137506 117 76.56069 10.794156 118 76.31778 10.473877 end tempfile dataset2 save `dataset2' * Example generated by -dataex-. To install: ssc install dataex clear input float(district_id x_stub y_stub) 1 77.57578 14.484938 2 79.01996 13.46324 3 78.78391 14.461876 4 82.0033 17.190853 5 80.07764 16.291048 6 80.79324 16.568815 7 78.01077 15.522762 8 79.74493 14.42524 9 79.51898 15.611388 10 83.66933 18.534872 11 82.71606 17.879093 12 81.40018 16.892174 22 86.95314 25.04594 23 84.60091 26.878845 24 86.06253 26.107756 25 84.92094 24.800936 26 86.29471 25.16689 27 85.40443 26.18871 28 85.32538 25.35474 29 87.53761 25.91772 30 86.77 25.99135 31 84.55655 26.146526 32 84.03043 25.17149 39 72.22892 22.71804 40 71.157364 21.376474 41 71.92759 24.218157 42 73.2238 21.75263 43 71.79604 21.631826 44 73.71906 20.782715 45 72.662796 23.203684 46 69.938225 22.25322 47 70.36705 21.291815 48 72.901024 22.702017 49 69.92829 23.64138 50 72.25824 23.6403 51 73.84151 22.89135 52 70.76935 22.250036 53 73.14674 23.633554 54 73.34554 21.23379 55 71.53689 22.785044 56 73.53912 22.231274 57 73.12912 20.58801 58 77.11015 30.38144 59 77.03268 28.17054 60 75.5223 29.28937 61 76.31522 29.425783 62 76.75643 29.74056 63 76.15585 28.32321 64 76.68118 28.83104 85 86.40241 23.74969 86 85.58877 24.11807 87 84.10754 24.010754 88 84.89087 23.071264 89 87.245 24.493023 90 85.85558 22.54394 91 77.4726 12.913547 92 74.82811 16.113764 93 76.44615 15.046112 94 77.22865 17.942135 95 75.81337 16.560215 96 75.68145 13.428985 97 76.41669 14.223225 98 75.79681 12.323008 99 75.41306 15.144032 100 76.8756 17.054512 101 76.10504 12.978118 102 78.01498 13.370895 103 76.79259 12.604687 104 76.75268 12.079443 105 74.60293 14.774975 106 76.63239 15.87672 107 75.326836 14.036293 108 75.08897 13.120307 109 76.94049 13.513035 110 76.47502 9.438544 111 75.46492 12.129185 112 76.56656 10.01389 113 76.90978 9.106371 114 76.92366 9.794156 115 75.952866 11.549033 116 76.15894 11.137506 117 76.56069 10.794156 118 76.31778 10.473877 119 77.00609 8.603258 183 86.78558 21.288477 184 84.08356 20.26519 185 83.34911 20.67327 186 86.14165 20.55069 187 85.16365 20.92387 188 84.4937 19.466806 189 82.93784 20.060373 190 85.70293 21.532385 191 82.68578 18.988888 192 86.40359 21.90428 193 85.40851 20.060816 194 84.01537 21.4042 195 84.52103 22.0683 196 74.89443 31.517076 197 75.11371 30.18027 198 74.59668 30.522146 end geonear district_id y_stub x_stub using `dataset2', n(district_id1 y_stub1 x_stub1) ign long within(2000) near(2)
Code:
. l in 1/100, sepby(district_id)
+---------------------------------+
| distri~d distri~1 km_to_d~1 |
|---------------------------------|
1. | 1 7 124.49904 |
2. | 1 109 127.97384 |
3. | 1 97 128.2082 |
4. | 1 3 130.09966 |
5. | 1 102 132.63457 |
6. | 1 93 136.55177 |
7. | 1 91 175.08588 |
8. | 1 106 184.93033 |
9. | 1 2 192.84612 |
10. | 1 103 225.5649 |
11. | 1 101 230.88844 |
12. | 1 8 233.65575 |
13. | 1 96 235.73967 |
14. | 1 9 243.36752 |
15. | 1 99 243.76493 |
16. | 1 107 247.44494 |
17. | 1 104 281.91882 |
18. | 1 100 295.38236 |
19. | 1 95 298.16032 |
20. | 1 98 307.91562 |
21. | 1 108 308.43498 |
22. | 1 105 321.46761 |
23. | 1 5 335.0626 |
24. | 1 92 345.8944 |
25. | 1 111 347.53595 |
26. | 1 115 370.78345 |
27. | 1 94 386.20473 |
28. | 1 116 402.66387 |
29. | 1 6 415.32911 |
30. | 1 117 424.91232 |
31. | 1 118 466.44348 |
32. | 1 12 489.11211 |
33. | 1 112 509.10259 |
34. | 1 114 526.38356 |
35. | 1 4 561.06588 |
36. | 1 110 573.75786 |
37. | 1 113 602.44307 |
38. | 1 33 657.76167 |
39. | 1 11 666.05978 |
40. | 1 10 790.29795 |
41. | 1 44 810.67965 |
42. | 1 35 841.67975 |
43. | 1 37 875.23592 |
44. | 1 34 1004.2289 |
45. | 1 36 1080.8018 |
46. | 1 45 1098.4013 |
47. | 1 38 1138.5955 |
48. | 1 88 1225.9856 |
49. | 1 90 1250.3528 |
50. | 1 87 1261.1894 |
51. | 1 86 1360.9247 |
52. | 1 32 1366.0153 |
53. | 1 25 1380.2876 |
54. | 1 85 1385.1127 |
55. | 1 28 1454.087 |
56. | 1 31 1486.165 |
57. | 1 26 1496.3581 |
58. | 1 89 1503.9542 |
59. | 1 59 1522.8017 |
60. | 1 22 1529.0296 |
61. | 1 27 1535.0869 |
62. | 1 63 1545.7015 |
63. | 1 23 1558.9418 |
64. | 1 24 1565.1552 |
65. | 1 30 1597.665 |
66. | 1 64 1597.8699 |
67. | 1 29 1640.56 |
68. | 1 60 1659.6449 |
69. | 1 61 1666.382 |
70. | 1 62 1698.4279 |
71. | 1 58 1768.2518 |
72. | 1 74 1798.5594 |
73. | 1 73 1841.8299 |
74. | 1 71 1856.3107 |
75. | 1 15 1858.4849 |
76. | 1 65 1878.4715 |
77. | 1 68 1901.9032 |
78. | 1 72 1906.1506 |
79. | 1 69 1935.2231 |
80. | 1 13 1943.3494 |
81. | 1 67 1945.2603 |
82. | 1 70 1993.6713 |
|---------------------------------|
83. | 2 102 109.18274 |
84. | 2 3 113.92714 |
85. | 2 8 132.5268 |
86. | 2 91 178.32182 |
87. | 2 1 192.84612 |
88. | 2 109 224.91612 |
89. | 2 9 244.82698 |
90. | 2 7 253.47023 |
91. | 2 103 259.48765 |
92. | 2 104 290.0449 |
93. | 2 97 293.48832 |
94. | 2 101 320.1085 |
95. | 2 93 328.50123 |
96. | 2 5 334.34711 |
97. | 2 96 361.06691 |
98. | 2 106 371.44352 |
99. | 2 98 371.6489 |
100. | 2 6 394.34502 |
+---------------------------------+
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