The ‘Spatial Data Science across Languages’ (SDSL) community seeks to bring together the communities from the common and emerging programming languages used for data science such as R, Python and Julia, to discuss interoperability, methodological developments, and shared challenges such as interfacing upstream libraries (including GDAL, GEOS, and PROJ), packaging and distributing software, and managing user and developer communities.
Our main activity since 2023 has been annual workshops which provide a space for bridging the various programming-language communities and establishing cross-language interaction between developers and users.
The SDSL workshops aim to identify commonalities and differences between spatial data science languages, to bridge language barriers and to bring the different communities together to discuss, cooperate, and synchronise the development efforts.
Currently planning for September 2026.
© Jiuguang Wang 2011 CC-BY-SA 3.0
© Jim Linwood 2008 CC-BY 2.0
© Oxfordian Kissuth 2011 CC-BY-SA 3.0
SDSL has a Discord server for discussions and communication during the workshops. Please join via https://discord.gg/HJRKEJsmrr.