Abstract:SummaryIn order to describe the isonymic structure of Paraguay, the distribution of 4,843,868 surnames of 2,882,163 persons was studied in the 18 departments and 237 districts of the nation. The correlations between isonymic and geographic distances for departments were r = 0.713 ± 0.052 for Euclidean distance, 0.597 ± 0.074 for Nei's and 0.582 ± 0.076 for Lasker's, and for districts r = 0.320 ± 0.007, 0.235 ± 0.009 and 0.422 ± 0.008, respectively. Average α was 151 for the entire country, 140.6 ± 6.5 for depa… Show more
“…The methodology described in this paper was used to analyze the isonymic structure of several South American countries Dipierri et al, 2005Dipierri et al, , 2011Barrai et al, 2012). In these countries, 4 (Venezuela), 24 (Argentina), 23 (Bolivia), 4.5 (Paraguay) and 16.5 (Chile) million surnames from the registers of electors were used.…”
SummaryIn order to describe the isonymic structure of Albania, the distribution of 3,068,447 surnames was studied in the 12 prefectures and their administrative subdivisions: the 36 districts and 321 communes. The number of different surnames found was 37,184. Effective surname number for the entire country was 1327, the average for prefectures was 653.3 ± 84.3, for districts 365.9 ± 42.0 and for communes 122.6 ± 8.7. These values display a variation of inbreeding between administrative levels in the Albanian population, which can be attributed to the previously published "Prefecture effect".Matrices of isonymic distances between units within administrative levels were tested for correlation with geographic distances. The correlations were highest for prefectures (r = 0.71 ± 0.06 for Euclidean distance) and lowest for communes (r = 0.37 ± 0.011 for Nei's distance).The multivariate analyses (Principal component analysis and Multidimensional Scaling) of prefectures identify three main clusters, one toward the North, the second in Central Albania, and the third in the South. This pattern is consistent with important subclusters from districts and communes, which point out that the country may have been colonised by diffusion of groups in the North-South direction, and from Macedonia in the East, over a pre-existing Illiryan population.
“…The methodology described in this paper was used to analyze the isonymic structure of several South American countries Dipierri et al, 2005Dipierri et al, , 2011Barrai et al, 2012). In these countries, 4 (Venezuela), 24 (Argentina), 23 (Bolivia), 4.5 (Paraguay) and 16.5 (Chile) million surnames from the registers of electors were used.…”
SummaryIn order to describe the isonymic structure of Albania, the distribution of 3,068,447 surnames was studied in the 12 prefectures and their administrative subdivisions: the 36 districts and 321 communes. The number of different surnames found was 37,184. Effective surname number for the entire country was 1327, the average for prefectures was 653.3 ± 84.3, for districts 365.9 ± 42.0 and for communes 122.6 ± 8.7. These values display a variation of inbreeding between administrative levels in the Albanian population, which can be attributed to the previously published "Prefecture effect".Matrices of isonymic distances between units within administrative levels were tested for correlation with geographic distances. The correlations were highest for prefectures (r = 0.71 ± 0.06 for Euclidean distance) and lowest for communes (r = 0.37 ± 0.011 for Nei's distance).The multivariate analyses (Principal component analysis and Multidimensional Scaling) of prefectures identify three main clusters, one toward the North, the second in Central Albania, and the third in the South. This pattern is consistent with important subclusters from districts and communes, which point out that the country may have been colonised by diffusion of groups in the North-South direction, and from Macedonia in the East, over a pre-existing Illiryan population.
“…We shall obtain signs of the direction of migrations, by studying the geographic heterogeneity of surnames. Moreover, since in this country the Hispanic dual surname system is used, besides random inbreeding F ST we can also estimate, for each subdivision, the total or observed inbreeding F IT and the local expressed fraction F IS (Wright,1951), as we have done for Spain, Bolivia, and Paraguay (Rodriguez‐Larralde et al,2003, 2011; Dipierri et al,2011).…”
In Chile, the Hispanic dual surname system is used. To describe the isonymic structure of this country, the distribution of 16,277,255 surnames of 8,178,209 persons was studied in the 15 regions, the 54 provinces, and the 346 communes of the nation. The number of different surnames found was 72,667. Effective surname number (Fisher's α) for the entire country was 309.0, the average for regions was 240.8 ± 17.6, for provinces 209.2 ± 8.9, and for communes 178.7 ± 4.7. These values display a variation of inbreeding between administrative levels in the Chilean population, which can be attributed to the 'Prefecture effect' of Nei and Imaizumi. Matrices of isonymic distances between units within administrative levels were tested for correlation with geographic distance. The correlations were highest for provinces (r = 0.630 ± 0.019 for Euclidean distance) and lowest for communes (r = 0.366 ± 0.009 for Lasker's). The geographical distribution of the first three-dimensions of the Euclidean distance matrix suggests that population diffusion may have taken place from the north of the country toward the center and south. The prevalence of European plus European-Amerindian (95.4%) over Amerindian ethnicity (4.6%, CIA World Factbook) is compatible with diffusion of Caucasian groups over a low-density area populated by indigenous groups. The significant excess of maternal over paternal indigenous surnames indicates some asymmetric mating between nonAmerindian and Amerindian Chileans. The available studies of Y-markers and mt-markers are in agreement with this asymmetry. In the present work, we investigate the Chilean population with the aim of detecting its structure through the study of isonymy (Crow and Mange,1965) in the three administrative levels of the nation, namely 15 regions, 54 provinces, and 346 communes.
“…The methodology described in this paper was used to analyze the isonymic structure of several South American countries , 2011Dipierri et al, 2005Dipierri et al, , 2011Barrai et al, 2012). In these countries, 4 (Venezuela), 24 (Argentina), 23 (Bolivia), 4.5 (Paraguay), and 16.5 (Chile) million surnames from the registers of electors were used.…”
SummaryIn this work, we investigated surname distribution in 4,348,021 Honduran electors with the aim of detecting population structure through the study of isonymy in three administrative levels: the whole nation, the 18 departments, and the 298 municipalities. For each administrative level, we studied the surname effective number, α, the total inbreeding, F IT , the random inbreeding, F ST , and the local inbreeding, F IS . Principal components analysis, multidimensional scaling, and cluster analysis were performed on Lasker's distance matrix to detect the direction of surname diffusion and for a graphic representation of the surname relationship between different locations. The values of F IT , F ST , and F IS display a variation of random inbreeding between the administrative levels in the Honduras population, which is attributed to the "Prefecture effect." Multivariate analyses of department data identified two main clusters, one south-western and the second north-eastern, with the Bay Islands and the eastern Gracias a Dios out of the main clusters.The results suggest that currently the population structure of this country is the result of the joint action of short-range directional migration and drift, with drift dominating over migration, and that population diffusion may have taken place mainly in the NW-SE direction.
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