I thought I would share in a separate thread since Lukas found them to be quite complex. His response.
Interesting case. What's your ethnic background? I have no idea from your results. Maybe someone can shed some light on this?
K36 Results
Population
Amerindian 0.33
Arabian 2.64
Armenian 0.68
Basque 0.93
Central_African -
Central_Euro 3.70
East_African -
East_Asian -
East_Balkan 3.80
East_Central_Asian -
East_Central_Euro 11.36
East_Med 4.73
Eastern_Euro 2.23
Fennoscandian 7.22
French 1.34
Iberian 10.99
Indo-Chinese -
Italian 15.51
Malayan -
Near_Eastern -
North_African 0.39
North_Atlantic 8.78
North_Caucasian 3.35
North_Sea 17.60
Northeast_African -
Oceanian -
Omotic -
Pygmy -
Siberian -
South_Asian 0.48
South_Central_Asian -
South_Chinese -
Volga-Ural 1.66
West_African -
West_Caucasian 0.42
West_Med 1.86
Least-squares method.
Using 1 population approximation:
1 German_Volga @ 11,657049
2 German @ 11,872539
3 Man_Isle @ 13,824425
4 Austria_Tyrol @ 14,740585
5 IT_Veneto @ 15,003817
6 Hungary @ 15,058956
7 Holland @ 15,472359
8 Slovenian @ 15,848438
9 Austria @ 15,926022
10 Croatian @ 16,027176
11 German_SouthWest @ 16,080227
12 Romania @ 16,369554
13 France @ 16,418563
14 England @ 16,512075
15 IT_North @ 16,719058
16 Scotland @ 16,726028
17 Montenegrian @ 17,02511
18 Serbian @ 17,142584
19 Wales @ 17,278421
20 IT_Friuli @ 17,322792
255 iterations.
Using 2 populations approximation:
1 IT_North+Sweden @ 9,224472
2 Romania+Scotland @ 9,573329
3 Kosovo+Scotland @ 9,698637
4 IT_Veneto+Sweden @ 9,722358
5 GR_Macedonia2+Sweden @ 9,75709
6 IT_North+Denmark @ 9,772827
7 Albania_Montenegro+Scotland @ 9,790468
8 Kosovo+Denmark @ 9,821017
9 Bulgaria+Scotland @ 9,829405
10 IT_Veneto+Denmark @ 9,848195
Using 3 populations approximation:
1 50% Sweden +25% GR_Macedonia2 +25% IT_North @ 8,79061
2 50% IT_North +25% Scotland +25% PL_Sudovia @ 8,806938
3 50% IT_North +25% Scotland +25% PL_Wielkopolska @ 8,81935
4 50% IT_North +25% Scotland +25% Pl_Kashubians @ 8,874802
5 50% Sweden +25% IT_North +25% Kosovo @ 8,988602
6 50% IT_North +25% Sweden +25% Pl_north @ 8,993851
7 50% IT_North +25% Scotland +25% Pl_north @ 9,010091
8 50% IT_North +25% Sweden +25% PL_Wielkopolska @ 9,032674
9 50% Sweden +25% IT_North +25% Albania_South @ 9,071284
10 50% IT_North +25% Denmark +25% PL_Wielkopolska @ 9,076168
Using 4 populations approximation:
1 GR_Macedonia2+IT_North+Scotland+Sweden @ 8,776249
2 GR_Macedonia2+IT_North+Sweden+Sweden @ 8,79061
3 IT_North+Romania+Scotland+Sweden @ 8,796188
4 IT_Tuscany+IT_North+Scotland+PL_Sudovia @ 8,798405
5 IT_North+Bulgaria+Scotland+Sweden @ 8,805394
6 IT_North+IT_North+Scotland+PL_Sudovia @ 8,806938
7 IT_North+IT_North+Scotland+PL_Wielkopolska @ 8,81935
8 IT_North+Kosovo+Scotland+Sweden @ 8,82858
9 GR_Macedonia2+IT_Veneto+Scotland+Sweden @ 8,866032
10 IT_North+IT_North+Scotland+Pl_Kashubians @ 8,874802
Gaussian method.
Noise dispersion set to 0,130062
Using 1 population approximation:
1 Man_Isle @ 5,95139
2 Bosnian @ 6,146444
3 Hungary @ 6,262704
4 Croatian @ 6,266604
5 IT_North @ 6,363896
6 IT_Veneto @ 6,370718
7 Romania @ 6,696576
8 Serbian @ 6,705766
9 Montenegrian @ 6,719103
10 Austria_Tyrol @ 7,289913
11 France @ 7,381964
12 Slovenian @ 7,396801
13 IT_Friuli @ 7,508855
14 Albania_Montenegro @ 7,577176
15 CH_Ticino @ 7,826383
16 Rusyn_NE_Slovakia @ 7,911254
17 Hungarian_Slovenian @ 8,169284
18 Moldavian @ 8,275591
19 German @ 8,517619
20 Slovak @ 8,518626
255 iterations.
Using 2 populations approximation:
1 CH_Ticino+PL_Wielkopolska @ 4,466326
2 IT_Friuli+Denmark @ 4,497515
3 CH_Ticino+Pl_north @ 4,546765
4 IT_Friuli+Norway @ 4,583304
5 CH_Ticino+PL_SE_Carpathia @ 4,637495
6 IT_Friuli+Orcadian @ 4,65909
7 IT_Friuli+Sweden @ 4,674748
8 CH_Ticino+Slovak @ 4,685156
9 CH_Ticino+Denmark @ 4,74153
10 IT_Friuli+Holland @ 4,747948
Using 3 populations approximation:
1 50% CH_Ticino +25% England +25% PL_Sudovia @ 4,139228
2 50% CH_Ticino +25% Scotland +25% PL_Sudovia @ 4,154306
3 50% CH_Ticino +25% Holland +25% PL_Sudovia @ 4,158078
4 50% CH_Ticino +25% Man_Isle +25% PL_Sudovia @ 4,163261
5 50% CH_Ticino +25% Denmark +25% PL_Sudovia @ 4,166272
6 50% CH_Ticino +25% Orcadian +25% PL_Sudovia @ 4,177577
7 50% CH_Ticino +25% Denmark +25% Russian_Voronezh @ 4,190835
8 50% CH_Ticino +25% British_mixed +25% PL_Sudovia @ 4,204507
9 50% CH_Ticino +25% Wales +25% PL_Sudovia @ 4,212057
10 50% CH_Ticino +25% Denmark +25% Russian_Oryol @ 4,228742
Using 4 populations approximation:
1 CH_Ticino+CH_Ticino+England+PL_Sudovia @ 4,139228
2 CH_Ticino+CH_Ticino+Scotland+PL_Sudovia @ 4,154306
3 CH_Ticino+CH_Ticino+Holland+PL_Sudovia @ 4,158078
4 CH_Ticino+CH_Ticino+Man_Isle+PL_Sudovia @ 4,163261
5 CH_Ticino+CH_Ticino+Denmark+PL_Sudovia @ 4,166272
6 CH_Ticino+CH_Ticino+Orcadian+PL_Sudovia @ 4,177577
7 CH_Ticino+CH_Ticino+Denmark+Russian_Voronezh @ 4,190835
8 CH_Ticino+CH_Ticino+British_mixed+PL_Sudovia @ 4,204507
9 CH_Ticino+CH_Ticino+Wales+PL_Sudovia @ 4,212057
10 CH_Ticino+CH_Ticino+Denmark+Russian_Oryol @ 4,228742
Reply With Quote