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