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Figures & Tables

Table 1

Summary of Glottography datasets at the time of manuscript publication.

SOURCE PUBLICATIONLINGUISTIC AND GEOGRAPHIC COVERAGETIME PERIODOVERLAPNO. LANGUAGESDATASET NAMEDOI
Allen et al. (2016)central Californiabefore TOCno11allen2016resourcehttps://doi.org/10.5281/zenodo.17333165
Asher & Moseley (2007)globalcontemporarypartly4064asher2007worldhttps://doi.org/10.5281/zenodo.15287258
globalTOCpartly4503
Bouckaert et al. (2012)Indo-European in Europe & southern Asiacontemp. & ancientyes70bouckaert2012indoeuropeanhttps://doi.org/10.5281/zenodo.17333413
Bowern (2021)Australiatraditionalno326bowern2021australiahttps://doi.org/10.5281/zenodo.17334090
Bowern & Atkinson (2012)Pama-Nyungan in Australiatraditionalno7bowern2012pama-nyunganhttps://doi.org/10.5281/zenodo.17333460
Carling & Gippert (2025)globalcontemporaryyes800carling2025diaclhttps://doi.org/10.5281/zenodo.17334192
Dedio et al. (2019)Indo-European on British Isles & in northern Europe800–1900 ADyes31dedio2019britainhttps://doi.org/10.5281/zenodo.17334236
Denevan (1966)northeastern Boliviaaround 1700 ADno5denevan1966aboriginalhttps://doi.org/10.5281/zenodo.17334281
Edwards (2020)Timor islandcontemporaryno39edwards2020metathesishttps://doi.org/10.5281/zenodo.17338066
Eriksen (2011)AmazoniaTOCpartly102eriksen2011naturehttps://doi.org/10.5281/zenodo.17339139
Figueira (1982)Argentinacontemporaryno11figueira1982atlastotalargentinahttps://doi.org/10.5281/zenodo.17339172
Goddard (1999)North Americabefore TOCno286goddard1999nativehttps://doi.org/10.5281/zenodo.17339338
Grierson (1903)Indiacontemporaryno112grierson1903lsihttps://doi.org/10.5281/zenodo.17340138
Haynie & Gavin (2019)North Americabefore TOCno350haynie2019modernhttps://doi.org/10.5281/zenodo.17340247
Hochstetler et al. (2004)Dogon in West Africacontemporaryno14hochstetler2004sociolinguistichttps://doi.org/10.5281/zenodo.17340571
Matsumae et al. (2021)northeast Asiacontemporaryno11matsumae2021exploringhttps://doi.org/10.5281/zenodo.17340654
Messineo (2011)Gran Chaco, South Americacontemporaryno16messineo2011aproximacionhttps://doi.org/10.5281/zenodo.17340771
Ministerio de Educación de Argentina (2009)Argentinacontemporaryno12ministerio2009puebloshttps://doi.org/10.5281/zenodo.17340812
Queixalos & Renault-Lescure (2000)northern South Americacontemporaryno206queixalos2000linguashttps://doi.org/10.5281/zenodo.17341026
Rantanen et al. (2021)Northern Europe & northwestern Siberiacontemporary & traditionalyes41rantanen2021uralichttps://doi.org/10.5281/zenodo.17341268
Schapper (2020)Papuan on Alor-Pantarcontemporaryno18schapper2020papuanhttps://doi.org/10.5281/zenodo.17341890
Suttles & Suttles (1985)American Northwest Coasttraditionalno14suttles1985northwesthttps://doi.org/10.5281/zenodo.17341948
Steever (2019)Dravidian in South Asiacontemporaryno98steever2019dravidianhttps://doi.org/10.5281/zenodo.17341914
Tarble de Scaramelli & Zucchi (1984)Amazoniatraditionalno10tarble1984nuevoshttps://doi.org/10.5281/zenodo.17341986
Vuillermet (2012)Amazoniacontemporaryno27vuillermet2012grammarhttps://doi.org/10.5281/zenodo.17342021
Walker & Ribeiro (2011)Arawakan in South Americacontemporaryno30walker2011bayesianhttps://doi.org/10.5281/zenodo.17342060
Wikipedia contributors (2024)globalcontemporaryyes158wikipedia2024officiallanghttps://doi.org/10.5281/zenodo.17342116
Wurm & Hattori (1981)Australia, Papunesia & southeast Asiacontemporaryno1921wurm1981pacifichttps://doi.org/10.5281/zenodo.17342180
Zucchi (2017)Arawakan in Amazoniatraditionalno10zucchi2017arqueologiahttps://doi.org/10.5281/zenodo.17342211

[i] TOC: Time of (European) contact.

Figure 1

Geographic language polygon density in Glottography. The map shows the number of unique language polygons per grid cell. The colour gradient is pseudo-logarithmic, emphasising differences in order of magnitude.

Figure 2

Number of languages included in and missing from Glottography for the 25 largest language families (by number of languages) in Glottolog.

Figure 3

Comparison of coverage in Glottography and Ethnologue. The map shows the difference in the number of unique language polygons per grid cell (Glottography minus Ethnologue). Positive values indicate greater coverage in Glottography (blue), negative values greater coverage in Ethnologue (red). Differences near zero (white) indicate similar coverage across datasets. The colour gradient is pseudo-logarithmic, highlighting differences in order of magnitude.

Figure 4

Languages in Glottolog with a corresponding polygon in Glottography (blue) and without one (red). Point locations are based on Glottolog.

Figure 5

Glottography language polygons for Shona, Bengali, Algonquin, and Bulgarian from multiple sources. The contemporary and traditional polygons in the Atlas of the World’s Languages are treated as distinct sources. As these polygons are identical outside the Americas and Australia, only one is included.

DOI: https://doi.org/10.5334/johd.459 | Journal eISSN: 2059-481X
Language: English
Submitted on: Nov 6, 2025
|
Accepted on: Feb 4, 2026
|
Published on: Mar 19, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2026 Peter Ranacher, Robert Forkel, Nour Efrat-Kowalsky, Matthias Urban, Antonia Hehli, Micha Franz, Gregory Biland, Aaron Kreienbühl, Alba Hermida Rodríguez, Matheus C. B. C. Azevedo, James Giebler, Takuya Takahashi, Nico Neureiter, Rik van Gijn, Meeli Roose, Outi Vesakoski, Robert Weibel, Gereon Kaiping, Sietze Norder, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.