15
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Surname regions and dialectal variation in the Asturian linguistic space

      ,
      Journal of Linguistic Geography
      Cambridge University Press (CUP)

      Read this article at

      ScienceOpenPublisher
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Studies on the correlations between spatial distribution of linguistic varieties and genetic structure of populations began by dealing with geographic spaces and extensive linguistic families. In the last two decades, researchers with this type of interdisciplinary approach have also begun to study more reduced linguistic and population domains. This paper examines geolinguistic and onomastic information in a linguistic and administrative space of a limited extension of the Principality of Asturias. The information on the surnames of this region, taken from the inhabitants’ register, is used to identify surname regions and check correlations with dialect areas described in this space. The results obtained in this research show many similarities in the distribution of surname regions with dialect areas recognized by traditional dialectology studies. The conclusions of the study present the results obtained together with some of the explanatory proposals on the historical constitution of the linguistic diversity of this area.

          Related collections

          Most cited references82

          • Record: found
          • Abstract: not found
          • Article: not found

          Analysis of Gene Diversity in Subdivided Populations

          M Nei (1973)
            • Record: found
            • Abstract: not found
            • Article: not found

            Phylogenetic Analysis: Models and Estimation Procedures

              • Record: found
              • Abstract: found
              • Article: not found

              Geographic patterns of (genetic, morphologic, linguistic) variation: how barriers can be detected by using Monmonier's algorithm.

              When sampling locations are known, the association between genetic and geographic distances can be tested by spatial autocorrelation or regression methods. These tests give some clues to the possible shape of the genetic landscape. Nevertheless, correlation analyses fail when attempting to identify where genetic barriers exist, namely, the areas where a given variable shows an abrupt rate of change. To this end, a computational geometry approach is more suitable because it provides the locations and the directions of barriers and because it can show where geographic patterns of two or more variables are similar. In this frame we have implemented Monmonier's (1973) maximum difference algorithm in a new software package to identify genetic barriers. To provide a more realistic representation of the barriers in a genetic landscape, we implemented in the software a significance test by means of bootstrap matrices analysis. As a result, the noise associated with genetic markers can be visualized on a geographic map and the areas where genetic barriers are more robust can be identified. Moreover, this multiple matrices approach can visualize the patterns of variation associated with different markers in the same overall picture. This improved Monmonier's method is highly reliable and can be applied to nongenetic data whenever sampling locations and a distance matrix between corresponding data are available.

                Author and article information

                Journal
                Journal of Linguistic Geography
                J. of Ling. Geography
                Cambridge University Press (CUP)
                2049-7547
                January 05 2021
                : 1-13
                Article
                10.1017/jlg.2020.8
                bb5a341d-c5fa-439c-9997-5a0366b8ccb4
                © 2021

                https://www.cambridge.org/core/terms

                History

                Comments

                Comment on this article

                Related Documents Log