28 August -- 03 September 2022, OpenGeoHub Summer School 2022, Siegburg Tom Hengl: “Modern challanges of geospatial data science: the Open-Earth-Monitor project” Video Ben Graeler: “AI Strategy for Earth System Data – KI:STE project” Martin Schultz: “Machine learning for weather, air quality and climate” Video Workshop materials Markus Konkol: “Open Reproducible Research – Concepts, challenges, and solutions” Video Slides Jakub Nowosad: “Geocomputation with R’s guide to reproducible spatial data analysis” Video Slides Edzer Pebesma: “R-spatial updates: sf, sftime, stars” Video part I Video part II Workshop materials Christian Autermann: “GeoNode as Research Data Infrastructure” Martijn Visser; Maarten Pronk: “JuliaGeo: a gentle introduction” Video Workshop materials Martin Fleischmann: “Introduction to GeoPandas and its Python ecosystem” Video Workshop materials Krzystof Dyba: “Benchmarking R and Python for spatial data processing” Video Workshop materials Ben Graeler: “Extreme events session” Workshop materials Leandro Parente: “Accessing and using data cubes: spatial overlay, visualization and modeling – Python tutorial” Video Workshop materials Markus Abel: “Stochastic processes, analysis, examples (Python tutorial)” Video Edzer Pebesma & Leandro Parente: “Geo-arrow and geo-parquet” Video Workshop materials #1 Workshop materials #2 Ribana Roscher: “Explainable ML” Video Slides #1 Slides #2 Patrick Schratz: “Introduction to mlr3 (R tutorial)” and Patrick Schratz & Leandro Parente: “Spatial modeling using mlr3 (R tutorial)” Video Workshop materials #1 Workshop materials #2 Hanna Meyer: “ML in R: how to deal with extrapolation and overfitting problems” Video Workshop materials Tim Appelhans: “Visualization cloud-optimized (large) datasets in R (R tutorial)” Video Workshop materials #1 Workshop materials #2 Workshop materials #3 Other Hackathon instructions Winning hackathon submission by Francisco Zambrano
