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Robin Lovelace: "Tidy geographic data with sf, dplyr, ggplot2, geos and friends"

Michael Dorman: "Introduction to working with spatial data in Python"

Edzer Pebesma: "Raster and vector data cubes in R"

Marteen Pronk: "Processing geospatial data using JuliaGeo framework"

Krzysztof Dyba: "Unsupervised classification (clustering) of satellite images"

Roger Bivand: "Progress in modernizing and replacing infrastructure packages in R-spatial workflows"

Lorena Abad: "Tools and packages to query and process Sentinel-1 and Sentinel-2 data with R and Python"

Caitlin Haedrich: "Parallelization of geoprocessing workflows in GRASS GIS and Python"

Ewa Grabska-Szwagrzyk: "Environmental analysis using satellite image time series"

Alicja Balfanz: "xcube for spatiotemporal data analysis and visualization"

Discussion panel: What can R, Python, and Julia development communities do to combat the climate crisis?

Alexander Brenning: "Spatial ML model assessment and interpretation"

Jarosław Jasiewicz: "Mapping explanation - Python toolchaing for spatial interpretative machine learning"

Edzer Pebesma: "Cloud-based analysis of Earth Observation data using openEO Platform, R and Python"

Anita Graser: "Data engineering for Mobility Data Science (with Python and DVC)"

Robin Lovelace: "Processing large OpenStreetMap datasets for geocomputational research"

Jakub Nowosad: "Sharing your geospatial knowledge in the open"

Misc