Best practices for spatial language data harmonization, sharing and map creation-A case study of Uralic.

ABSTRACT: Despite remarkable progress in digital linguistics, extensive databases of geographical language distributions are missing. This hampers both studies on language spatiality and public outreach of language diversity. We present best practices for creating and sharing digital spatial language data by collecting and harmonizing Uralic language distributions as case study. Language distribution studies have utilized various methodologies, and the results are often available as printed maps or written descriptions. In order to analyze language spatiality, the information must be digitized into geospatial data, which contains location, time and other parameters. When compiled and harmonized, this data can be used to study changes in languages' distribution, and combined with, for example, popula

SUBMITTER: Rantanen T 

PROVIDER: S-EPMC9176854 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature