gixajo
03-27-2021, 10:05 PM
Itīs simply a game, something "just for fun", but I show in this thread a simply way to "create" their own calculator, with their own coordinates, basing it on the results of models that use any coordinates of any calculator that each one chooses.
Quite simple, I will make coordinates with the basic ancient model with 15 components that the creator of G25 "use to use", and whose results usually accompany our coordinates:
TUR_Barcin_N,0.1175998,0.180118,0.0035312,-0.101158,0.0510443,-0.0483875,-0.0043582,-0.0069334,0.0362287,0.0807473,0.0079718,0.0118803,-0.0234545,0.0004691,-0.0419807,-0.0101913,0.0233091,0.0019866,0.0136954,-0.0097489,-0.0142249,0.0057723,-0.0041232,-0.0031658,-0.0043437
BRA_LapaDoSanto_9600BP,0.050765,-0.3095332,0.1206032,0.098515,-0.1156522,-0.017626,-0.284645,-0.3400012,-0.0136212,-0.0184422,0.002241,-0.003267,0.0004162,0.017478,-0.0065688,0.0064438,0.006493,-0.001267,0.0026898,0.003727,-0.0010482,0.007963,-0.002662,-0.0043378,0.001413
Dinka,-0.577083,0.050776,-0.000377,-0.00751,-0.005386,-0.001673,-0.017685,0.020422,0.081145,-0.09695,-0.02107,0.022742,-0.038317,-0.00117,0.010145,-0.021347,0.018612,-0.009438,0.024197,-0.024168,0.002402,0.003308,0.001479,0.000904,0.009 7
ETH_4500BP,-0.511066,0.043668,0.000754,0.000969,-0.00277,-0.011435,0.050997,-0.045229,0.089172,-0.087838,-0.012991,-0.002997,-0.031219,0.000688,0.02158,-0.029965,0.027772,0.039273,0.00176,-0.009004,0.000374,0.006183,-0.003451,-0.00241,-0.000838
Han,0.0206952,-0.4507105,-0.0082967,-0.0651579,0.0780846,0.0374475,0.0029055,-0.004804,-0.0150232,-0.0031146,-0.0495875,-0.0070573,0.0072707,-0.0081072,-0.0043305,0.0012535,0.0017542,-0.0008638,-0.0020455,-0.0102206,0.0122397,0.0069582,0.0141063,-0.0012925,-0.0022315
IRN_Ganj_Dareh_N,0.0430252,0.0664158,-0.1550722,0.0047158,-0.122669,0.0235384,0.017109,-0.0011998,-0.082546,-0.0544158,-0.0028258,-0.0016186,0.0044896,-0.0062756,0.0316498,0.0561384,-0.0054242,0.0068664,0.0136508,-0.0334162,0.00856,-0.028836,-0.0110678,-0.039331,0.0222254
IRN_Shahr_I_Sokhta_BA2_I8728,0.033009,-0.081242,-0.184789,0.125325,-0.09848,0.06777,0.002585,0.007615,0.03661,0.02606,-0.002273,0.010041,-0.005798,0.006744,0.004479,0.001326,0.008605,0.001 267,0.00352,0.001376,0.003743,-0.004946,-0.00037,-0.00253,-0.007305
Jarawa,-0.021982,-0.243028,-0.132416,0.098697,0.032372,-0.004584,-0.01012,0.006505,0.054697,0.023805,0.022806,0.0027 35,-0.004153,0.010356,-0.010807,-0.011444,0.009453,-0.001908,-0.006222,0.028678,-0.00464,0.011136,-0.01234,0.002267,0.004985
Kura-Araxes_ARM_Kaps,0.1013025,0.133034,-0.07071,-0.043605,-0.0498555,-0.0092035,0.008108,-0.011653,-0.066368,-0.01631,0.0030855,0.011015,-0.019846,0.005849,0.0042075,-0.0102095,-0.0001305,-0.003927,-0.001697,0.0032515,0.003494,-0.000247,-0.0036975,-0.0090975,-0.0030535
Levant_PPNB,0.072847,0.1639064,-0.0316026,-0.1361132,0.0332986,-0.0645352,-0.0134426,-0.0147684,0.0741604,0.03601,0.0188046,-0.0150764,0.035738,0.0025596,-0.0217696,0.006099,0.0098048,-0.0013176,-0.0047264,0.0188088,-0.001797,0.0071472,0.0008872,-0.0056874,-0.0037602
MAR_Taforalt,-0.189857,0.0814452,-0.0242866,-0.085595,0.027636,-0.0552202,-0.0705968,0.0184146,0.155397,0.003499,0.0209156,-0.0318316,0.0747168,-0.0513334,0.0711988,-0.0363032,0.0052676,-0.066106,-0.1424162,0.0389938,-0.0376836,-0.1255322,0.0730118,-0.0137606,0.0164534
Nganassan,0.047692,-0.406618,0.155789,0.00239,-0.159445,-0.088213,0.028507,0.043337,0.031088,0.012848,0.102 857,0.009412,-0.004073,-0.026162,-0.021973,-0.012331,-0.001095,0.013416,0.026837,-0.00085,0.043136,-0.011895,0.03361,0.000398,0.013556
WHG,0.1246365,0.116278,0.184789,0.189279,0.1546445 ,0.0464355,0.0131605,0.0372675,0.0890705,0.017768,-0.0153455,-0.015811,0.0159065,-0.0030275,0.053338,0.0582065,0.00502,0.016343,-0.0093015,0.055589,0.0944585,0.0111905,-0.049607,-0.160866,0.0170045
Yamnaya_RUS_Samara,0.1255849,0.089028,0.0426986,0. 1153479,-0.0287232,0.0450564,0.0036033,-0.0025642,-0.0559032,-0.0728943,0.0018222,3.32e-05,-0.0026924,-0.0233041,0.0366141,0.0157633,-0.0012316,-0.0017879,-0.0038408,0.0137704,-0.0031749,0.0007557,0.0110649,0.0186102,-0.004537
Yoruba,-0.630062,0.062501,0.022113,0.016708,0.000503,0.012 474,-0.044417,0.047767,-0.048881,0.032769,0.004621,0.00079,0.023056,0.0009 51,0.012523,-0.009607,0.007076,0.000449,0.006022,-0.00299,0.001554,0.002316,-0.001759,-0.000471,-0.000425
The model uses 15 components (not references, but components), so my coordinates will have 15 "numbers".
I use these sources with my Scaled G25 coordinates (ADD DIST COL:NO option) I will obtain:
Target: gixajo_scaled
Distance: 3.7422% / 0.03742166
54.6 TUR_Barcin_N
29.0 Yamnaya_RUS_Samara
14.2 WHG
2.2 MAR_Taforalt
I will order the coordinates in the same order that they are in the sources:
Gixajo,TUR_Barcin_N,BRA_LapaDoSanto_9600BP,Dinka,E TH_4500BP,Han,IRN_Ganj_Dareh_N,IRN_Shahr_I_Sokhta_ BA2_I8728,Jarawa,Kura-Araxes_ARM_Kaps,Levant_PPNB,MAR_Taforalt,Nganassan ,WHG,Yamnaya_RUS_Samara,Yoruba
So my personal coordinates based on these results will be:
Gixajo,54.6,0,0,0,0,0,0,0,0,0,2.2,0,14.2,29.0,0
Once I have my coordinates I will need some population references to use as sources in models, for example I choose this model that I presented a long time ago:
NorthWest_Europe:A,0.1325593,0.1337507,0.0638800,0 .0508907,0.0394997,0.0199777,0.0031217,0.0057113,0 .0037393,-0.0007613,-0.0054230,0.0055750,-0.0099407,-0.0108430,0.0222443,0.0036457,-0.0109377,0.0022727,0.0024637,0.0005757,0.0058040, 0.0025773,0.0010957,0.0142847,0.0009677
NorthWest_Europe:B,0.13228260,0.13575633,0.0611616 3,0.04610647,0.03934567,0.01760073,0.00328790,0.00 544713,0.00432753,0.00329560,-0.00566140,0.00552183,-0.01298923,-0.01229210,0.02298907,0.00455140,-0.01034353,0.00244507,0.00212870,0.00159910,0.0047 9467,0.00279477,-0.00034153,0.01318237,0.00036833
NorthWest_Europe:C,0.13102565,0.13839775,0.0615714 5,0.04359780,0.04056560,0.01657980,0.00420955,0.00 606750,0.00587280,0.00632250,-0.00470165,0.00604745,-0.01316735,-0.01029915,0.02068505,0.00336205,-0.01144795,0.00310430,0.00372315,0.00310190,0.0053 7285,0.00363740,-0.00201385,0.01408045,0.00036125
NorthWest_Europe:D,0.13387755,0.12812600,0.0700008 0,0.05487155,0.03977280,0.02123570,0.00562880,0.00 779640,0.00531760,-0.00310225,-0.00426855,0.00259765,-0.00608450,-0.00776585,0.01803785,0.00670525,-0.00632675,0.00230450,0.00208300,0.00281375,0.0063 5490,0.00392150,0.00270265,0.01419580,0.00005980
NorthEast_Europe:A,0.1310153,0.1214563,0.0711987,0 .0603063,0.0356400,0.0220150,0.0089957,0.0116723,-0.0034180,-0.0234717,-0.0007067,-0.0075860,0.0157850,0.0231097,-0.0123050,-0.0018747,0.0027710,-0.0005210,0.0028207,0.0022073,-0.0037993,-0.0040860,0.0049800,-0.0048143,-0.0007887
NorthEast_Europe:B,0.13114045,0.12414403,0.0713242 8,0.05926633,0.03763253,0.02201158,0.00920780,0.01 139795,-0.00218298,-0.02191808,-0.00108938,-0.00747203,0.01575333,0.02224508,-0.01138495,-0.00227050,0.00217845,0.00036135,0.00273743,0.0024 6635,-0.00309238,-0.00325688,0.00427275,-0.00436315,-0.00082948
NorthEast_Europe:C,0.13419740,0.11830925,0.0882651 0,0.08638635,0.04299255,0.03189105,0.01198555,0.01 426095,-0.00087945,-0.03266560,-0.00175390,-0.01308335,0.02134025,0.02636855,-0.00861145,0.00288380,0.00146670,-0.00143170,0.00147695,0.00325795,-0.00070510,-0.00379000,0.00666760,-0.00428965,0.00284405
NorthEast_Europe:D,0.128582,0.083663,0.092565,0.07 8958,0.029816,0.023622,0.008876,0.014773,0.004196,-0.026607,0.004236,-0.007461,0.015216,0.005767,0.001455,-0.002047,-0.006585,0.000171,-0.000392,0.004094,0.007928,0.001223,0.002531,0.005 306,0.003258
SouthWest_Europe:A,0.1114262,0.1457656,0.0391042,-0.0021563,0.0435893,-0.0028766,-0.0027518,0.0023328,0.0245443,0.0311097,-0.0019483,0.0076193,-0.0139167,-0.0119986,0.0110553,0.0002514,-0.0017091,-0.0005234,-0.0038558,-0.0008879,0.0024943,-0.0015599,-0.0005079,-0.0021326,0.0002108
SouthWest_Europe:B,0.1127253,0.1464038,0.0406260,-0.0010165,0.0449500,-0.0025714,-0.0027779,0.0015101,0.0246433,0.0325341,-0.0026677,0.0075804,-0.0142454,-0.0123391,0.0108006,-0.0001258,-0.0041015,-0.0006735,-0.0030864,-0.0014932,0.0036968,-0.0019572,-0.0022307,-0.0031847,0.0014280
SouthWest_Europe:C,0.095851,0.144954,0.037951,-0.006129,0.044770,-0.006738,-0.006890,0.003869,0.028790,0.030199,-0.001872,0.006677,-0.013102,-0.011350,0.012704,-0.007795,-0.009323,-0.001110,-0.008124,0.000056,0.003734,-0.006245,0.000020,-0.001047,0.004084
SouthWest_Europe:D,0.12997965,0.15121785,0.0567294 5,0.01091560,0.05699690,0.00131690,-0.00236310,0.00186655,0.03097855,0.04340165,-0.00690060,0.01097355,-0.02187710,-0.01639320,0.01558220,0.00089560,-0.00886335,0.00290045,-0.00126605,-0.002245710,0.00947355,0.00248615,-0.00776400,-0.00910345,0.001167849
SouthEast_Europe:A,0.12579329,0.13828144,0.0357888 2,0.01114909,0.02941564,0.00586134,0.00544810,0.00 497657,0.00085542,0.00215944,-0.00096055,-0.00051699,0.00273532,0.01127594,-0.01323739,-0.00196439,0.00647814,-0.00008437,0.00379195,-0.00369752,-0.00910870,-0.00146335,0.00424785,-0.00031725,-0.00082417
SouthEast_Europe:B,0.127823,0.135607,0.048372,0.02 6389,0.033545,0.009399,0.005468,0.006569,0.002045,-0.002582,-0.001803,-0.001773,0.003746,0.013345,-0.009387,-0.003297,0.003073,0.000122,0.004768,-0.002276,-0.005673,-0.002350,0.003726,-0.000711,-0.000164
SouthEast_Europe:C,0.1242270,0.130858,0.037156,0.0 144255,0.028241,0.0057105,0.005408,0.006261,0.0001 37,0.0020645,-0.0025935,-0.00109,0.002249,0.0110690,-0.011775,-0.0021085,0.005019,-0.000919,0.003392,-0.0021025,-0.0053775,-0.001126,0.003622,0.000366,-0.000794
SoutEast_Europe:D,0.11140840,0.14591180,-0.00812253,-0.04104343,0.00871315,-0.01319430,0.00090083,-0.00172838,-0.00075845,0.01704973,0.00310060,0.00279748,-0.00398438,0.00354085,-0.00934730,-0.00112803,0.00415830,0.00021075,0.00356465,-0.00389083,-0.00505928,0.00134385,0.00106483,0.00079573,-0.00272183
And following the same steps that I used to get my personal coordinates, I convert each coordinate of the G25 to the new coordinates that we can call A15, and I get this:
NorthWest_Europe:D,33.6,0,0,0,0,0,0,0,0,0,0,0,15.8 ,50.6,0
NorthWest_Europe:C,38.8,0,0,0,0,0,0,0,0,0,0,0,14.4 ,46.8,0
NorthWest_Europe:B,37.04,0,0,0,0,0,0,0,0,0,0,0,14. 0,48.6,0
NorthWest_Europe:A,35.4,0,0,0,0,0,0,0,0,0,0,0,14.4 ,50.2,0
NorthEast_Europe:D,20.8,0,0,0,0,0,0,0,0,0,0,6.0,19 .4,53.8,0
Northeast_Europe:C,22.4,0,0,0,0,0,0,0,0,0,0,0,21.2 ,56.4,0
Northeast_Europe:B,32.0,0,0,0,0,0,0,0,0,0,0,0,16.0 ,52.0,0
NorthEast_Europe:A,31.2,0,0,0,0.2,0,0,0,0,0,0,0,15 .6,53.0,0
SouthWest_Europe:D,55.8,0,0,0,0,0,0,0,0,0,0,0,19.6 ,24.6,0
SouthWest_Europe:C,52.8,0,0,0,0,0,0,0,0,0,8.0,0,11 .4,27.8,0
SouthWest_Europe:B,54.6,0,0,0,0,0,0,0,0,0,3.6,0,12 .6,29.2,0
SouthWest_Europe:A,54.4,0,0,0,0,0,0,0,0,0,4.0,0,11 .8,29.8,0
SouthEast_Europe:A,49.0,0,0,0,0,0,0,0,0,1.0,0,0,6. 4,43.6,0
SouthEast_Europe:B,44.8,0,0,0,0,0,0,0,0,0,0,0,10.0 ,45.2,0
SouthEast_Europe:C,47.4,0,0,0,1.0,0,0,0,0,0.8,0,0, 7.0,43.8,0
SoutEast_Europe:D,41.6,0,0,0,0,2.8,0,0,17.8,13.4,0 ,0,0.8,23.6,0
Then I use it as if it were any model:
Target: Gixajo
Distance: 0.1327% / 0.13271865
92.1 SouthWest_Europe
7.9 SouthEast_Europe
I have tried it with my parents as well, and the results are consistent, even though the distances vary quite a bit depending individuals.
In this case I deleted the sources of a Vahaduo K15 model instead of using the G25 github.
Nor do I rule out having made a mistake in some of the references of the model, as always, everything is handmade, I have many distractions around, and at some point I may have lost concentration and made a mistake.
But the objective is to show something different, which can be useful to someone at some point, and I want to make a record of the method itself, not the model or these coordinates in particular, which are just an example of what each one can do.
I just wanted to share the idea.
Thank you for your attention, and I hope I have not wasted your time reading all this.:)
Quite simple, I will make coordinates with the basic ancient model with 15 components that the creator of G25 "use to use", and whose results usually accompany our coordinates:
TUR_Barcin_N,0.1175998,0.180118,0.0035312,-0.101158,0.0510443,-0.0483875,-0.0043582,-0.0069334,0.0362287,0.0807473,0.0079718,0.0118803,-0.0234545,0.0004691,-0.0419807,-0.0101913,0.0233091,0.0019866,0.0136954,-0.0097489,-0.0142249,0.0057723,-0.0041232,-0.0031658,-0.0043437
BRA_LapaDoSanto_9600BP,0.050765,-0.3095332,0.1206032,0.098515,-0.1156522,-0.017626,-0.284645,-0.3400012,-0.0136212,-0.0184422,0.002241,-0.003267,0.0004162,0.017478,-0.0065688,0.0064438,0.006493,-0.001267,0.0026898,0.003727,-0.0010482,0.007963,-0.002662,-0.0043378,0.001413
Dinka,-0.577083,0.050776,-0.000377,-0.00751,-0.005386,-0.001673,-0.017685,0.020422,0.081145,-0.09695,-0.02107,0.022742,-0.038317,-0.00117,0.010145,-0.021347,0.018612,-0.009438,0.024197,-0.024168,0.002402,0.003308,0.001479,0.000904,0.009 7
ETH_4500BP,-0.511066,0.043668,0.000754,0.000969,-0.00277,-0.011435,0.050997,-0.045229,0.089172,-0.087838,-0.012991,-0.002997,-0.031219,0.000688,0.02158,-0.029965,0.027772,0.039273,0.00176,-0.009004,0.000374,0.006183,-0.003451,-0.00241,-0.000838
Han,0.0206952,-0.4507105,-0.0082967,-0.0651579,0.0780846,0.0374475,0.0029055,-0.004804,-0.0150232,-0.0031146,-0.0495875,-0.0070573,0.0072707,-0.0081072,-0.0043305,0.0012535,0.0017542,-0.0008638,-0.0020455,-0.0102206,0.0122397,0.0069582,0.0141063,-0.0012925,-0.0022315
IRN_Ganj_Dareh_N,0.0430252,0.0664158,-0.1550722,0.0047158,-0.122669,0.0235384,0.017109,-0.0011998,-0.082546,-0.0544158,-0.0028258,-0.0016186,0.0044896,-0.0062756,0.0316498,0.0561384,-0.0054242,0.0068664,0.0136508,-0.0334162,0.00856,-0.028836,-0.0110678,-0.039331,0.0222254
IRN_Shahr_I_Sokhta_BA2_I8728,0.033009,-0.081242,-0.184789,0.125325,-0.09848,0.06777,0.002585,0.007615,0.03661,0.02606,-0.002273,0.010041,-0.005798,0.006744,0.004479,0.001326,0.008605,0.001 267,0.00352,0.001376,0.003743,-0.004946,-0.00037,-0.00253,-0.007305
Jarawa,-0.021982,-0.243028,-0.132416,0.098697,0.032372,-0.004584,-0.01012,0.006505,0.054697,0.023805,0.022806,0.0027 35,-0.004153,0.010356,-0.010807,-0.011444,0.009453,-0.001908,-0.006222,0.028678,-0.00464,0.011136,-0.01234,0.002267,0.004985
Kura-Araxes_ARM_Kaps,0.1013025,0.133034,-0.07071,-0.043605,-0.0498555,-0.0092035,0.008108,-0.011653,-0.066368,-0.01631,0.0030855,0.011015,-0.019846,0.005849,0.0042075,-0.0102095,-0.0001305,-0.003927,-0.001697,0.0032515,0.003494,-0.000247,-0.0036975,-0.0090975,-0.0030535
Levant_PPNB,0.072847,0.1639064,-0.0316026,-0.1361132,0.0332986,-0.0645352,-0.0134426,-0.0147684,0.0741604,0.03601,0.0188046,-0.0150764,0.035738,0.0025596,-0.0217696,0.006099,0.0098048,-0.0013176,-0.0047264,0.0188088,-0.001797,0.0071472,0.0008872,-0.0056874,-0.0037602
MAR_Taforalt,-0.189857,0.0814452,-0.0242866,-0.085595,0.027636,-0.0552202,-0.0705968,0.0184146,0.155397,0.003499,0.0209156,-0.0318316,0.0747168,-0.0513334,0.0711988,-0.0363032,0.0052676,-0.066106,-0.1424162,0.0389938,-0.0376836,-0.1255322,0.0730118,-0.0137606,0.0164534
Nganassan,0.047692,-0.406618,0.155789,0.00239,-0.159445,-0.088213,0.028507,0.043337,0.031088,0.012848,0.102 857,0.009412,-0.004073,-0.026162,-0.021973,-0.012331,-0.001095,0.013416,0.026837,-0.00085,0.043136,-0.011895,0.03361,0.000398,0.013556
WHG,0.1246365,0.116278,0.184789,0.189279,0.1546445 ,0.0464355,0.0131605,0.0372675,0.0890705,0.017768,-0.0153455,-0.015811,0.0159065,-0.0030275,0.053338,0.0582065,0.00502,0.016343,-0.0093015,0.055589,0.0944585,0.0111905,-0.049607,-0.160866,0.0170045
Yamnaya_RUS_Samara,0.1255849,0.089028,0.0426986,0. 1153479,-0.0287232,0.0450564,0.0036033,-0.0025642,-0.0559032,-0.0728943,0.0018222,3.32e-05,-0.0026924,-0.0233041,0.0366141,0.0157633,-0.0012316,-0.0017879,-0.0038408,0.0137704,-0.0031749,0.0007557,0.0110649,0.0186102,-0.004537
Yoruba,-0.630062,0.062501,0.022113,0.016708,0.000503,0.012 474,-0.044417,0.047767,-0.048881,0.032769,0.004621,0.00079,0.023056,0.0009 51,0.012523,-0.009607,0.007076,0.000449,0.006022,-0.00299,0.001554,0.002316,-0.001759,-0.000471,-0.000425
The model uses 15 components (not references, but components), so my coordinates will have 15 "numbers".
I use these sources with my Scaled G25 coordinates (ADD DIST COL:NO option) I will obtain:
Target: gixajo_scaled
Distance: 3.7422% / 0.03742166
54.6 TUR_Barcin_N
29.0 Yamnaya_RUS_Samara
14.2 WHG
2.2 MAR_Taforalt
I will order the coordinates in the same order that they are in the sources:
Gixajo,TUR_Barcin_N,BRA_LapaDoSanto_9600BP,Dinka,E TH_4500BP,Han,IRN_Ganj_Dareh_N,IRN_Shahr_I_Sokhta_ BA2_I8728,Jarawa,Kura-Araxes_ARM_Kaps,Levant_PPNB,MAR_Taforalt,Nganassan ,WHG,Yamnaya_RUS_Samara,Yoruba
So my personal coordinates based on these results will be:
Gixajo,54.6,0,0,0,0,0,0,0,0,0,2.2,0,14.2,29.0,0
Once I have my coordinates I will need some population references to use as sources in models, for example I choose this model that I presented a long time ago:
NorthWest_Europe:A,0.1325593,0.1337507,0.0638800,0 .0508907,0.0394997,0.0199777,0.0031217,0.0057113,0 .0037393,-0.0007613,-0.0054230,0.0055750,-0.0099407,-0.0108430,0.0222443,0.0036457,-0.0109377,0.0022727,0.0024637,0.0005757,0.0058040, 0.0025773,0.0010957,0.0142847,0.0009677
NorthWest_Europe:B,0.13228260,0.13575633,0.0611616 3,0.04610647,0.03934567,0.01760073,0.00328790,0.00 544713,0.00432753,0.00329560,-0.00566140,0.00552183,-0.01298923,-0.01229210,0.02298907,0.00455140,-0.01034353,0.00244507,0.00212870,0.00159910,0.0047 9467,0.00279477,-0.00034153,0.01318237,0.00036833
NorthWest_Europe:C,0.13102565,0.13839775,0.0615714 5,0.04359780,0.04056560,0.01657980,0.00420955,0.00 606750,0.00587280,0.00632250,-0.00470165,0.00604745,-0.01316735,-0.01029915,0.02068505,0.00336205,-0.01144795,0.00310430,0.00372315,0.00310190,0.0053 7285,0.00363740,-0.00201385,0.01408045,0.00036125
NorthWest_Europe:D,0.13387755,0.12812600,0.0700008 0,0.05487155,0.03977280,0.02123570,0.00562880,0.00 779640,0.00531760,-0.00310225,-0.00426855,0.00259765,-0.00608450,-0.00776585,0.01803785,0.00670525,-0.00632675,0.00230450,0.00208300,0.00281375,0.0063 5490,0.00392150,0.00270265,0.01419580,0.00005980
NorthEast_Europe:A,0.1310153,0.1214563,0.0711987,0 .0603063,0.0356400,0.0220150,0.0089957,0.0116723,-0.0034180,-0.0234717,-0.0007067,-0.0075860,0.0157850,0.0231097,-0.0123050,-0.0018747,0.0027710,-0.0005210,0.0028207,0.0022073,-0.0037993,-0.0040860,0.0049800,-0.0048143,-0.0007887
NorthEast_Europe:B,0.13114045,0.12414403,0.0713242 8,0.05926633,0.03763253,0.02201158,0.00920780,0.01 139795,-0.00218298,-0.02191808,-0.00108938,-0.00747203,0.01575333,0.02224508,-0.01138495,-0.00227050,0.00217845,0.00036135,0.00273743,0.0024 6635,-0.00309238,-0.00325688,0.00427275,-0.00436315,-0.00082948
NorthEast_Europe:C,0.13419740,0.11830925,0.0882651 0,0.08638635,0.04299255,0.03189105,0.01198555,0.01 426095,-0.00087945,-0.03266560,-0.00175390,-0.01308335,0.02134025,0.02636855,-0.00861145,0.00288380,0.00146670,-0.00143170,0.00147695,0.00325795,-0.00070510,-0.00379000,0.00666760,-0.00428965,0.00284405
NorthEast_Europe:D,0.128582,0.083663,0.092565,0.07 8958,0.029816,0.023622,0.008876,0.014773,0.004196,-0.026607,0.004236,-0.007461,0.015216,0.005767,0.001455,-0.002047,-0.006585,0.000171,-0.000392,0.004094,0.007928,0.001223,0.002531,0.005 306,0.003258
SouthWest_Europe:A,0.1114262,0.1457656,0.0391042,-0.0021563,0.0435893,-0.0028766,-0.0027518,0.0023328,0.0245443,0.0311097,-0.0019483,0.0076193,-0.0139167,-0.0119986,0.0110553,0.0002514,-0.0017091,-0.0005234,-0.0038558,-0.0008879,0.0024943,-0.0015599,-0.0005079,-0.0021326,0.0002108
SouthWest_Europe:B,0.1127253,0.1464038,0.0406260,-0.0010165,0.0449500,-0.0025714,-0.0027779,0.0015101,0.0246433,0.0325341,-0.0026677,0.0075804,-0.0142454,-0.0123391,0.0108006,-0.0001258,-0.0041015,-0.0006735,-0.0030864,-0.0014932,0.0036968,-0.0019572,-0.0022307,-0.0031847,0.0014280
SouthWest_Europe:C,0.095851,0.144954,0.037951,-0.006129,0.044770,-0.006738,-0.006890,0.003869,0.028790,0.030199,-0.001872,0.006677,-0.013102,-0.011350,0.012704,-0.007795,-0.009323,-0.001110,-0.008124,0.000056,0.003734,-0.006245,0.000020,-0.001047,0.004084
SouthWest_Europe:D,0.12997965,0.15121785,0.0567294 5,0.01091560,0.05699690,0.00131690,-0.00236310,0.00186655,0.03097855,0.04340165,-0.00690060,0.01097355,-0.02187710,-0.01639320,0.01558220,0.00089560,-0.00886335,0.00290045,-0.00126605,-0.002245710,0.00947355,0.00248615,-0.00776400,-0.00910345,0.001167849
SouthEast_Europe:A,0.12579329,0.13828144,0.0357888 2,0.01114909,0.02941564,0.00586134,0.00544810,0.00 497657,0.00085542,0.00215944,-0.00096055,-0.00051699,0.00273532,0.01127594,-0.01323739,-0.00196439,0.00647814,-0.00008437,0.00379195,-0.00369752,-0.00910870,-0.00146335,0.00424785,-0.00031725,-0.00082417
SouthEast_Europe:B,0.127823,0.135607,0.048372,0.02 6389,0.033545,0.009399,0.005468,0.006569,0.002045,-0.002582,-0.001803,-0.001773,0.003746,0.013345,-0.009387,-0.003297,0.003073,0.000122,0.004768,-0.002276,-0.005673,-0.002350,0.003726,-0.000711,-0.000164
SouthEast_Europe:C,0.1242270,0.130858,0.037156,0.0 144255,0.028241,0.0057105,0.005408,0.006261,0.0001 37,0.0020645,-0.0025935,-0.00109,0.002249,0.0110690,-0.011775,-0.0021085,0.005019,-0.000919,0.003392,-0.0021025,-0.0053775,-0.001126,0.003622,0.000366,-0.000794
SoutEast_Europe:D,0.11140840,0.14591180,-0.00812253,-0.04104343,0.00871315,-0.01319430,0.00090083,-0.00172838,-0.00075845,0.01704973,0.00310060,0.00279748,-0.00398438,0.00354085,-0.00934730,-0.00112803,0.00415830,0.00021075,0.00356465,-0.00389083,-0.00505928,0.00134385,0.00106483,0.00079573,-0.00272183
And following the same steps that I used to get my personal coordinates, I convert each coordinate of the G25 to the new coordinates that we can call A15, and I get this:
NorthWest_Europe:D,33.6,0,0,0,0,0,0,0,0,0,0,0,15.8 ,50.6,0
NorthWest_Europe:C,38.8,0,0,0,0,0,0,0,0,0,0,0,14.4 ,46.8,0
NorthWest_Europe:B,37.04,0,0,0,0,0,0,0,0,0,0,0,14. 0,48.6,0
NorthWest_Europe:A,35.4,0,0,0,0,0,0,0,0,0,0,0,14.4 ,50.2,0
NorthEast_Europe:D,20.8,0,0,0,0,0,0,0,0,0,0,6.0,19 .4,53.8,0
Northeast_Europe:C,22.4,0,0,0,0,0,0,0,0,0,0,0,21.2 ,56.4,0
Northeast_Europe:B,32.0,0,0,0,0,0,0,0,0,0,0,0,16.0 ,52.0,0
NorthEast_Europe:A,31.2,0,0,0,0.2,0,0,0,0,0,0,0,15 .6,53.0,0
SouthWest_Europe:D,55.8,0,0,0,0,0,0,0,0,0,0,0,19.6 ,24.6,0
SouthWest_Europe:C,52.8,0,0,0,0,0,0,0,0,0,8.0,0,11 .4,27.8,0
SouthWest_Europe:B,54.6,0,0,0,0,0,0,0,0,0,3.6,0,12 .6,29.2,0
SouthWest_Europe:A,54.4,0,0,0,0,0,0,0,0,0,4.0,0,11 .8,29.8,0
SouthEast_Europe:A,49.0,0,0,0,0,0,0,0,0,1.0,0,0,6. 4,43.6,0
SouthEast_Europe:B,44.8,0,0,0,0,0,0,0,0,0,0,0,10.0 ,45.2,0
SouthEast_Europe:C,47.4,0,0,0,1.0,0,0,0,0,0.8,0,0, 7.0,43.8,0
SoutEast_Europe:D,41.6,0,0,0,0,2.8,0,0,17.8,13.4,0 ,0,0.8,23.6,0
Then I use it as if it were any model:
Target: Gixajo
Distance: 0.1327% / 0.13271865
92.1 SouthWest_Europe
7.9 SouthEast_Europe
I have tried it with my parents as well, and the results are consistent, even though the distances vary quite a bit depending individuals.
In this case I deleted the sources of a Vahaduo K15 model instead of using the G25 github.
Nor do I rule out having made a mistake in some of the references of the model, as always, everything is handmade, I have many distractions around, and at some point I may have lost concentration and made a mistake.
But the objective is to show something different, which can be useful to someone at some point, and I want to make a record of the method itself, not the model or these coordinates in particular, which are just an example of what each one can do.
I just wanted to share the idea.
Thank you for your attention, and I hope I have not wasted your time reading all this.:)