Literature DB >> 11446427

The settlement of Patagonia: a matrix correlation study.

R González José1, S Dahinten, M Hernández.   

Abstract

Matrix correlation represents an innovative methodology to evaluate the explanatory power of several hypotheses by measuring their correspondence with observed morphological variation. In this paper, we view the origins of Patagonians from a matrix correlation approach. Personal and published data on nonmetric cranial traits were used to estimate a biological distance matrix involving five major groups from Patagonia and two from the northwest and northeast regions of Argentina. To evaluate correspondence with other important factors, we used a geographic distance matrix and four design matrices, representing several patterns of settlement and differentiation. Biological distance was found to be strongly associated with spatial separation; the correlation between geography and nonmetric cranial distances was highly significant. When geographic distance is held constant, correlation between a model representing high levels of heterogeneity between the samples and morphological (nonmetric) variation becomes highly significant.

Mesh:

Year:  2001        PMID: 11446427

Source DB:  PubMed          Journal:  Hum Biol        ISSN: 0018-7143            Impact factor:   0.553


  3 in total

1.  Incidence and morphological study of zygomaticofacial and zygomatico-orbital foramina in dry adult human skulls: the non-metrical variants.

Authors:  A Mangal; R Choudhry; A Tuli; S Choudhry; R Choudhry; V Khera
Journal:  Surg Radiol Anat       Date:  2004-03-02       Impact factor: 1.246

2.  Bilateral Absence of the Zygomatic Nerve and Zygomaticofacial Nerve and Foramina.

Authors:  Shehzad Khalid; Joe Iwanaga; Marios Loukas; R Shane Tubbs
Journal:  Cureus       Date:  2017-07-23

3.  Distance from Africa, not climate, explains within-population phenotypic diversity in humans.

Authors:  Lia Betti; François Balloux; William Amos; Tsunehiko Hanihara; Andrea Manica
Journal:  Proc Biol Sci       Date:  2009-03-07       Impact factor: 5.349

  3 in total

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