A global and interoperable dataset of linguistic distributions derived from the Atlas of the World’s Languages

Asher and Moseley's Atlas of the World's Languages illustrates the past and present spatial distribution of human languages across more than 100 maps. While the Atlas is an impressive resource, its data are not readily accessible for research. Language areas are presented as printed maps and referenced by name, rather than as digital spatial objects linked to a standardised language catalogue. To address these limitations, we present a digital dataset derived from the Atlas. We georeferenced the map images, digitised the language polygons in a Geographic Information System (GIS), and linked each polygon to a Glottocode - a unique identifier for languages and language varieties. Following the FAIR principles, we provide the data as a faithful digital replication of the Atlas (comprising 6,992 distinct language areas) and in enriched, aggregated versions for contemporary and traditional languages. The datasets capture the spatial distribution of human languages as depicted in the Atlas, with each polygon linked to an unambiguous identifier, enabling computational analyses of the origins, distribution, and drivers of global linguistic diversity.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2025-08-22
DOI
https://doi.org/10.1038/s41597-025-05828-6
Citations
1
Primary Topic
Language and cultural evolution
Type
article
Field-Weighted Citation Impact
16.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A global and interoperable dataset of linguistic distributions derived from the Atlas of the World’s Languages

Nour Efrat-Kowalsky, Matheus C. B. C. Azevedo, Robert Weibel, Nico Neureiter et al.
1 citations
Scientific Data
Language and cultural evolution
16.49
article

A global and interoperable dataset of linguistic distributions derived from the Atlas of the World’s Languages

Nour Efrat-Kowalsky, Matheus C. B. C. Azevedo, Robert Weibel, Nico Neureiter, Outi Vesakoski, Gereon A. Kaiping, Michael R. Franz, Robert Forkel, Sietze J. Norder, Alba Hermida Rodríguez, Rik van Gijn, Peter Ranacher, Meeli Roose, Takuya Takahashi, Matthias Urban, Martijn Romar, Andrea Klaussova, Antonia Hehli, Gregory Biland, Aaron Kreienbühl
article en
1 citations

Abstract

Asher and Moseley's Atlas of the World's Languages illustrates the past and present spatial distribution of human languages across more than 100 maps. While the Atlas is an impressive resource, its data are not readily accessible for research. Language areas are presented as printed maps and referenced by name, rather than as digital spatial objects linked to a standardised language catalogue. To address these limitations, we present a digital dataset derived from the Atlas. We georeferenced the map images, digitised the language polygons in a Geographic Information System (GIS), and linked each polygon to a Glottocode - a unique identifier for languages and language varieties. Following the FAIR principles, we provide the data as a faithful digital replication of the Atlas (comprising 6,992 distinct language areas) and in enriched, aggregated versions for contemporary and traditional languages. The datasets capture the spatial distribution of human languages as depicted in the Atlas, with each polygon linked to an unambiguous identifier, enabling computational analyses of the origins, distribution, and drivers of global linguistic diversity.

Scientific DataVol. 12(1)
Leiden University (NL), Centre National de la Recherche Scientifique (FR), Radboud University Nijmegen (NL), University of Turku (FI), Utrecht University (NL), University of Zurich (CH), Ghent University Hospital (BE), Laboratoire Dynamique du Langage (FR), Max Planck Institute for Evolutionary Anthropology (DE)
Openalex Percentile: Top 2%
Language and cultural evolution
16.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.