Geonear converting latitudes and lomgitudes

[Shailaja Tiwari]

Hi Statalist
I have a dataset with grid points (Latitude and Longitude). I want to match these with a GIS file that contains district coordinates (Latitude and Longitude) that are polygon centroids.
As i understand this can be addressed by geoinpoly and geonear
I am trying to use geonear to find the nearest neighbour for every grid point. My issue is that my latitudes and longitudes do not fall in the 90 to -90 and 180 to -180 range as is required.
I will appreciate any suggestions on how to solve this issue as i am quite new to geonear

A sample of my data is
The grid file

* Example generated by -dataex-. To install: ssc install dataex
clear
input float(LAT LON idd)
7.5 94.5   1
7.5 94.5   2
7.5 94.5   3
7.5 94.5   4
7.5 94.5   5
7.5 94.5   6
7.5 94.5   7
7.5 94.5   8
7.5 94.5   9
7.5 94.5  10
7.5 94.5  11
7.5 94.5  12
7.5 94.5  13
7.5 94.5  14
7.5 94.5  15
7.5 94.5  16
7.5 94.5  17
7.5 94.5  18
7.5 94.5  19
7.5 94.5  20
7.5 94.5  21
7.5 94.5  22
7.5 94.5  23
7.5 94.5  24
7.5 94.5  25
7.5 94.5  26
7.5 94.5  27
7.5 94.5  28
7.5 94.5  29
7.5 94.5  30
7.5 94.5  31
7.5 94.5  32
7.5 94.5  33
7.5 94.5  34
7.5 94.5  35
7.5 94.5  36
7.5 94.5  37
7.5 94.5  38
7.5 94.5  39
7.5 94.5  40
7.5 94.5  41
7.5 94.5  42
7.5 94.5  43
7.5 94.5  44
7.5 94.5  45
7.5 94.5  46
7.5 94.5  47
7.5 94.5  48
7.5 94.5  49
7.5 94.5  50
7.5 94.5  51
7.5 94.5  52
7.5 94.5  53
7.5 94.5  54
7.5 94.5  55
7.5 94.5  56
7.5 94.5  57
7.5 94.5  58
7.5 94.5  59
7.5 94.5  60
7.5 94.5  61
7.5 94.5  62
7.5 94.5  63
7.5 94.5  64
7.5 94.5  65
7.5 94.5  66
7.5 94.5  67
7.5 94.5  68
7.5 94.5  69
7.5 94.5  70
7.5 94.5  71
7.5 94.5  72
7.5 94.5  73
7.5 94.5  74
7.5 94.5  75
7.5 94.5  76
7.5 94.5  77
7.5 94.5  78
7.5 94.5  79
7.5 94.5  80
7.5 94.5  81
7.5 94.5  82
7.5 94.5  83
7.5 94.5  84
7.5 94.5  85
7.5 94.5  86
7.5 94.5  87
7.5 94.5  88
7.5 94.5  89
7.5 94.5  90
7.5 94.5  91
7.5 94.5  92
7.5 94.5  93
7.5 94.5  94
7.5 94.5  95
7.5 94.5  96
7.5 94.5  97
7.5 94.5  98
7.5 94.5  99
7.5 94.5 100
end

The GIS file

* Example generated by -dataex-. To install: ssc install dataex
clear
input float(x_c y_c) int id
 74.29764  36.37415   1
75.636375  35.38476   2
 76.66502  35.36059   3
 73.69609 35.758064   4
 79.12216 35.030567   5
 74.99791   35.2789   6
74.316414 35.416504   7
 77.91751 33.934277   8
  74.0153 34.667522   9
 74.99393  34.76488  10
 74.16609  34.38015  11
 74.72942  34.44623  12
 76.62077 33.812244  13
 75.10275 34.245647  14
 75.33213   33.8039  15
  76.0409 33.457706  16
 74.78827 33.945435  17
 73.84618   33.8917  18
 74.35662 33.758724  19
 75.02168  33.83983  20
 73.93203  33.27063  21
    74.33 33.163204  22
 75.45106 33.038002  23
 74.82907 33.251595  24
 77.60422 32.478596  25
 76.41702 32.649895  26
  79.3519 32.843716  27
 74.94873 32.716347  28
  75.6431  32.54342  29
 75.46049 32.002804  30
 77.44077 31.886263  31
 78.61996 32.089985  32
 78.39954  31.59011  33
 74.92443 31.521526  34
75.987404  31.52455  35
 77.06017 31.594364  36
  77.6962 31.175465  37
 75.43105  31.33191  38
 76.73202  31.32611  39
75.778595  31.12359  40
 79.11017  31.24749  41
 76.61606 30.919376  42
75.883514 31.210377  43
 78.50808  30.93282  44
 77.00807 31.003105  45
 79.45107  30.52177  46
 77.47031 30.636984  47
 75.97901 30.748606  48
 77.96883 30.433144  49
 80.14169  30.73001  50
 78.55444 30.424166  51
 80.25822 29.965845  52
 76.83641  30.67591  53
 76.48351 30.317503  54
 75.86491 30.217686  55
 79.59782 29.802814  56
 78.75726  29.87205  57
 74.09864  29.30311  58
 78.40327  29.33682  59
 77.62046  29.40121  60
 79.46494 29.179787  61
 95.84026  28.75149  62
  94.5524 28.578394  63
 78.59637 28.727774  64
 79.12862 28.793043  65
 73.17213 28.165806  66
74.705315  28.21952  67
  95.0773  28.35754  68
 79.44805 28.460186  69
 79.97113  28.55045  70
 77.18721 28.575996  71
 93.88018 28.298384  72
 80.64906 28.135067  73
 79.86494 27.982725  74
 96.56201  28.06059  75
 75.65158 28.017847  76
 78.96577 28.082516  77
 81.57264  27.72303  78
 93.56244 27.733534  79
 76.68678 27.546114  80
 88.52406  27.74051  81
 78.18516 27.822206  82
75.437485  27.55957  83
 70.99249   27.0859  84
 78.82445 27.603064  85
 92.55012 27.395876  86
 80.86832 27.537664  87
 77.76353  27.53769  88
  91.9893  27.64019  89
 82.16897 27.286453  90
 96.41525  27.48775  91
 95.07378  27.47257  92
75.973724 26.882647  93
  80.1973  27.34674  94
 79.62188 27.230976  95
  93.1208  27.30229  96
 74.31233 27.017635  97
 88.16219 27.329447  98
 72.94178 26.709484  99
 88.37589  27.28216 100
end

[Robert Picard]

Well both data examples are within the correct range (assuming that x_c are longitudes and y_c are latitudes). The points from the second dataset are identical so I don't know what's up with that. If you save the second dataset under "district_coor.dta", then the following command will find the nearest neighbor for each point in the first dataset:

geonear idd LAT LON using "district_coor.dta", neighbor(id y_c x_c)