<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In this paper, for the information categorization of toponyms in ethnic minority agglomerations, different cultural partitioning results are derived by combining the region of interest model, which constitutes a specific semantic map of the region of interest model, i.e., a semantic map of the toponymic structure. The preference index of toponymic culture is taken as a feature variable, and the calculation of toponymic similarity in ethnic minority agglomerations is realized by adopting the method based on the difference of feature vectors. Dynamically determining the weights is used to evaluate the semantic similarity of spatial data for place names. To examine the distribution characteristics and distribution patterns of place names in ethnic minority agglomerations, kernel density and logistic regression models are utilized. The ratio of the number of place names of each ethnic group to the total number of county units is analyzed by Moran’s I index to obtain the spatial autocorrelation distribution direction of the distribution of place names in Yunnan Hani Autonomous County. The analysis shows that the spatial autocorrelation index of the Hani ethnic group is 0.3524, which mainly falls in the first, second and third quadrants, where the first quadrant indicates that the area around the region with a higher proportion of Hani ethnic group place names is likewise a positively correlated region with a higher proportion of Hani ethnic group place names. As per the semantic map analysis results, the spatial distribution of the population closely corresponds with the distribution of toponyms in ethnic minority areas.</p>
</abstract>

In this paper, for the information categorization of toponyms in ethnic minority agglomerations, different cultural partitioning results are derived by combining the region of interest model, which constitutes a specific semantic map of the region of interest model, i.e., a semantic map of the toponymic structure. The preference index of toponymic culture is taken as a feature variable, and the calculation of toponymic similarity in ethnic minority agglomerations is realized by adopting the method based on the difference of feature vectors. Dynamically determining the weights is used to evaluate the semantic similarity of spatial data for place names. To examine the distribution characteristics and distribution patterns of place names in ethnic minority agglomerations, kernel density and logistic regression models are utilized. The ratio of the number of place names of each ethnic group to the total number of county units is analyzed by Moran’s I index to obtain the spatial autocorrelation distribution direction of the distribution of place names in Yunnan Hani Autonomous County. The analysis shows that the spatial autocorrelation index of the Hani ethnic group is 0.3524, which mainly falls in the first, second and third quadrants, where the first quadrant indicates that the area around the region with a higher proportion of Hani ethnic group place names is likewise a positively correlated region with a higher proportion of Hani ethnic group place names. As per the semantic map analysis results, the spatial distribution of the population closely corresponds with the distribution of toponyms in ethnic minority areas.

A Semantic Map Study on the Rules of Place Names Setting in Ethnic Minority Areas in China

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In this paper, for the information categorization of toponyms in ethnic minority agglomerations, different cultural partitioning results are derived by...

A Semantic Map Study on the Rules of Place Names Setting in Ethnic Minority Areas in China

Publié en ligne: 31 janv. 2024

Pages: -

Reçu: 18 déc. 2023

Accepté: 26 déc. 2023

DOI: https://doi.org/10.2478/amns-2024-0169

Mots clés
Semantic map, Kernel density, Logistic regression model, Spatial autocorrelation, Toponym distribution

© 2024 Ya Yang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

A Semantic Map Study on the Rules of Place Names Setting in Ethnic Minority Areas in China

Publié en ligne: 31 janv. 2024

Pages: -

Reçu: 18 déc. 2023

Accepté: 26 déc. 2023

DOI: https://doi.org/10.2478/amns-2024-0169

Mots clésSemantic map, Kernel density, Logistic regression model, Spatial autocorrelation, Toponym distribution

© 2024 Ya Yang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Semantic map, Kernel density, Logistic regression model, Spatial autocorrelation, Toponym distribution