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Spatial data science languages: commonalities and needs

Recent workshops brought together several developers, educators and users of software packages extending popular languages for spatial data handling, with a primary focus on R, Python and Julia. Common challenges discussed included handling of spatial or spatio-temporal support, geodetic coordinates...

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Autores principales: Edzer Pebesma, Martin Fleischmann, Josiah Parry, Jakub Nowosad, Anita Graser, Dewey Dunnington, Maarten Pronk, Rafael Schouten, Robin Lovelace, Marius Appel, Lorena Abad
Formato: Artigo
Lenguaje:Inglês
Publicado: University of Maine 2025-12-01
Colección:Journal of Spatial Information Science
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Acceso en línea:https://josis.org/index.php/josis/article/view/462
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