Hi Statalist!

This is my first time dealing with GPS dataset.
What I would like to do is to get the name of village for each observation.
I have longitude and latitude in my dataset.

And in other dataset, I have village code and coordinate (UTM)

What I would like to do is,
first, to convert longitude and latitude in the first dataset to UTM coordinate ( or vice versa)
then, to obtain the name of the village by calculating the nearest distance to the village. (Is it the right way?)

I am not so familiar with the code and this kind of method.
I would greatly appreciate for your help!

Thank you in advance.

Code:
* Example generated by -dataex-. To install: ssc install dataex
clear
input long data_id str9 event_date int year float(longitude latitude)
4965162 "24-Jan-10" 2010  104.916 11.5624
4965805 "10-Jan-10" 2010  104.916 11.5624
4965858 "08-Jan-10" 2010  104.916 11.5624
4965422 "18-Jan-10" 2010  104.916 11.5624
4965365 "19-Jan-10" 2010 103.9192 12.5387
4965768 "11-Jan-10" 2010  104.916 11.5624
5152519 "10-Jan-10" 2010 104.9455 11.4464
4965107 "25-Jan-10" 2010  103.782 10.6301
4966027 "03-Jan-10" 2010 102.9736 13.5858
4965166 "24-Jan-10" 2010 104.6253  14.207
4965240 "22-Jan-10" 2010  104.916 11.5624
4966035 "03-Jan-10" 2010 104.8265 11.4135
4964886 "29-Jan-10" 2010 103.1344 12.2423
4964990 "27-Jan-10" 2010 103.6591 13.4444
4965634 "14-Jan-10" 2010  104.916 11.5624
4965758 "11-Jan-10" 2010 104.8795 11.3871
4965277 "21-Jan-10" 2010 102.5636  13.658
4965726 "12-Jan-10" 2010  104.916 11.5624
4965958 "05-Jan-10" 2010  104.916 11.5624
4965767 "11-Jan-10" 2010  104.916 11.5624
4965068 "26-Jan-10" 2010  103.782 10.6301
4965838 "09-Jan-10" 2010  104.916 11.5624
4964991 "27-Jan-10" 2010  104.916 11.5624
4965163 "24-Jan-10" 2010  103.782 10.6301
4965666 "13-Jan-10" 2010  104.916 11.5624
4965568 "15-Jan-10" 2010  104.916 11.5624
4953444 "31-Oct-10" 2010 103.8605 13.3617
4953734 "24-Oct-10" 2010  104.916 11.5624
4953567 "27-Oct-10" 2010  104.916 11.5624
4953674 "25-Oct-10" 2010  104.916 11.5624
4953673 "25-Oct-10" 2010 102.9736 13.5858
4954122 "13-Oct-10" 2010  104.916 11.5624
4953860 "20-Oct-10" 2010  104.916 11.5624
4953665 "25-Oct-10" 2010 102.9736 13.5858
5156265 "26-Oct-10" 2010   104.61   12.21
4954086 "14-Oct-10" 2010  104.916 11.5624
4952940 "17-Nov-10" 2010  104.916 11.5624
4953189 "10-Nov-10" 2010 104.2099 12.5325
4953007 "15-Nov-10" 2010  104.916 11.5624
4953160 "11-Nov-10" 2010 103.5295 10.6093
4953292 "06-Nov-10" 2010 103.5295 10.6093
4953219 "09-Nov-10" 2010 103.5295 10.6093
4953360 "03-Nov-10" 2010 105.4635 11.9933
4953271 "07-Nov-10" 2010 103.5295 10.6093
5451707 "17-Nov-10" 2010 103.1982 13.1027
4953270 "07-Nov-10" 2010  104.916 11.5624
4953191 "10-Nov-10" 2010 103.5295 10.6093
4953006 "15-Nov-10" 2010 102.9736 13.5858
4953137 "12-Nov-10" 2010 103.5295 10.6093
4953088 "13-Nov-10" 2010 103.7652 12.5758
4952891 "19-Nov-10" 2010 102.3708 13.5663
4952876 "20-Nov-10" 2010  104.916 11.5624
4952966 "16-Nov-10" 2010  104.916 11.5624
4953238 "08-Nov-10" 2010 103.5295 10.6093
5156266 "02-Nov-10" 2010  102.373 13.2971
4953405 "01-Nov-10" 2010 103.1344 12.2423
4953326 "04-Nov-10" 2010 103.5295 10.6093
4952965 "16-Nov-10" 2010  104.916 11.5624
4953190 "10-Nov-10" 2010  104.916 11.5624
4953311 "05-Nov-10" 2010 103.5295 10.6093
4953361 "03-Nov-10" 2010  104.916 11.5624
4951617 "28-Dec-10" 2010  104.916 11.5624
5156270 "15-Dec-10" 2010  102.373 13.2971
4951563 "29-Dec-10" 2010 104.1231 13.1025
4951818 "23-Dec-10" 2010 104.4274 11.7537
4952018 "16-Dec-10" 2010  104.916 11.5624
4951860 "22-Dec-10" 2010 104.4274 11.7537
4952350 "06-Dec-10" 2010  104.916 11.5624
5156268 "05-Dec-10" 2010 103.1982 13.1027
4952181 "12-Dec-10" 2010 106.4571  12.054
5156272 "20-Dec-10" 2010 102.3757 13.4319
4952234 "10-Dec-10" 2010 103.5295 10.6093
4951777 "24-Dec-10" 2010 104.4274 11.7537
4951616 "28-Dec-10" 2010 104.2099 12.5325
4952512 "01-Dec-10" 2010 102.9736 13.5858
4952393 "05-Dec-10" 2010  104.916 11.5624
4952357 "06-Dec-10" 2010  104.916 11.5624
4952097 "14-Dec-10" 2010  104.916 11.5624
4952356 "06-Dec-10" 2010 104.2099 12.5325
4951564 "29-Dec-10" 2010  104.916 11.5624
5156273 "29-Dec-10" 2010 102.7531 12.2088
4951914 "20-Dec-10" 2010  104.916 11.5624
5156269 "15-Dec-10" 2010 102.3558 13.3316
5156271 "19-Dec-10" 2010 102.3757 13.4319
4951819 "23-Dec-10" 2010  104.916 11.5624
4952067 "15-Dec-10" 2010  104.916 11.5624
5451703 "02-Feb-10" 2010 103.6957 14.4247
4964716 "02-Feb-10" 2010  104.916 11.5624
4963844 "18-Feb-10" 2010 103.6479 13.6838
5152531 "05-Feb-10" 2010  105.712   11.12
5156248 "17-Feb-10" 2010 104.9411 14.2154
4964625 "04-Feb-10" 2010 104.8265 11.4135
5156247 "10-Feb-10" 2010 103.2551 12.7558
4963349 "27-Feb-10" 2010 104.4274 11.7537
4964062 "15-Feb-10" 2010 104.6078 11.5175
4963968 "16-Feb-10" 2010 103.8605 13.3617
4963324 "28-Feb-10" 2010 104.4274 11.7537
4964061 "15-Feb-10" 2010  103.053 13.9398
4962244 "22-Mar-10" 2010  104.916 11.5624
4963178 "03-Mar-10" 2010 103.6957 14.4247
end

Code:
* Example generated by -dataex-. To install: ssc    install    dataex
clear
input long villcode float(vp_x_coord vp_y_coord)
1020101 287775.88 1494766.4
1020102  285878.9 1494760.4
1020103 285878.94 1494361.6
1020104  284880.7   1493561
1020105  284980.4 1494159.3
1020106 284081.97   1492960
1020107  285479.9   1491868
1020108  286877.6   1491972
1020109 286578.16   1491672
1020110 287376.78   1492173
1020111 288075.63   1492574
1020112 288674.66 1492775.3
1020113 285679.78   1489376
1020114 286378.66 1489378.3
1020115  287077.6 1489480.3
1020116 288575.13 1489584.6
1020117 289673.38   1489588
1020118 290571.97   1489591
1020119 291670.16 1489793.8
1020201 282783.97   1493654
1020202 282983.72 1493754.3
1020203 282684.13   1494551
1020204 282484.38   1494650
1020205 282883.63   1495748
1020206 283083.28 1495748.5
1020207 282983.34 1496645.5
1020208 282484.16   1496943
1020209  282783.7 1497043.6
1020210  282683.7   1497841
1020211 282284.25 1498637.3
1020301 279885.28   1488042
1020302 277992.38   1487956
1020303  279090.6   1487860
1020304 276694.53   1486955
1020305 276794.44 1486855.5
1020306 276494.97   1486057
1020307 276495.03 1485857.6
1020308    276495 1485558.5
1020309 276395.22   1485259
1020310  276095.9 1483862.5
1020311 278591.94 1483471.6
1020312 280089.56   1483177
1020313 281587.03 1483979.5
1020314    279690 1484671.4
1020315  280488.5   1485970
1020316  279190.8   1484670
1020317  280688.2   1486569
1020401 292369.03 1489895.6
1020402  293367.4   1489799
1020403 292868.16 1489797.6
1020404 294265.97 1490001.4
1020405 296761.84   1490408
1020406 295663.63 1490105.5
1020407  297760.2 1490610.5
1020408  301154.7   1491319
1020501 294264.94 1498874.4
1020502 292667.53   1498371
1020503  293765.8 1498673.5
1020504 293665.94 1498872.5
1020505  295762.5 1499178.3
1020506 296261.63 1499578.6
1020507 294863.94   1498976
1020508 293166.75 1498472.3
1020601  285680.2   1485787
1020602  285979.6 1486884.6
1020603 285080.97 1487280.6
1020604 284082.63 1486978.3
1020605 285679.94 1487980.4
1020606 286378.84   1487484
1020607 287676.78 1487288.8
1020608 287077.75 1487386.5
1020609  285080.8 1489274.5
1020610  283782.8 1489569.5
1020611  284182.2   1489870
1020612 284781.44 1487877.8
1020613 284681.25 1490768.8
1020614    284182 1491863.8
1020701 285980.13 1482597.6
1020702 285880.16 1483195.5
1020703 285680.34 1484889.6
1020704 286079.97 1481700.8
1020705  284082.8 1485582.5
1020706 284582.25 1483390.8
1020707 288196.66   1481468
1020708 287477.34 1485094.8
1020709  285081.5   1482794
1020710 285680.44   1484092
1020801 282284.97 1492555.8
1020802 282285.03 1491558.6
1020803 282085.47 1491059.5
1020804 281286.72 1490957.4
1020805 280987.34   1490059
1020806  279589.6   1489955
1020807 279589.66 1489556.3
1020808  279789.4 1488958.6
1020809  282085.7   1488268
1020810 281486.72   1488067
1020811 281486.84   1487369
1020812 283383.84 1486278.3
1020813 280288.44 1489857.5
end