https://github.com/nowosad/ogh_summer_school_2022

Links and slides from the OpenGeoHub summer school 2022
https://github.com/nowosad/ogh_summer_school_2022

geojulia geopandas julia python rspatial rstats spatialmachinelearning

Last synced: 2 months ago
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Links and slides from the OpenGeoHub summer school 2022

• Host: GitHub
• URL: https://github.com/nowosad/ogh_summer_school_2022
• Owner: Nowosad
• Created: 2022-09-02T13:58:58.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-10-22T18:21:52.000Z (about 2 years ago)
• Last Synced: 2024-06-11T16:07:28.505Z (7 months ago)
• Topics: geojulia, geopandas, julia, python, rspatial, rstats, spatialmachinelearning
• Homepage: https://opengeohub.org/summer-school/siegburg-2022/
• Size: 17 MB
• Stars: 47
• Watchers: 4
• Forks: 8
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
## [**28 August -- 03 September 2022, OpenGeoHub Summer School 2022, Siegburg**](https://opengeohub.org/summer-school/siegburg-2022/)

![](resources/logo.png)

### Tom Hengl: “Modern challanges of geospatial data science: the Open-Earth-Monitor project”

- [Video](https://doi.org/10.5446/59400)

### Ben Graeler: “AI Strategy for Earth System Data – KI:STE project”

### Martin Schultz: “Machine learning for weather, air quality and climate”

- [Video](https://doi.org/10.5446/59411)

- [Workshop materials](https://b2drop.eudat.eu/s/GCyCgxPe3Wwpzpe)

### Markus Konkol: “Open Reproducible Research – Concepts, challenges, and solutions”

- [Video](https://doi.org/10.5446/59403)

- [Slides](https://github.com/Nowosad/OGH_summer_school_2022/raw/main/resources/open_reproducible_research.pdf)

### Jakub Nowosad: “Geocomputation with R’s guide to reproducible spatial data analysis”

- [Video](https://doi.org/10.5446/59404)

- [Slides](https://jakubnowosad.com/ogh2022/)

### Edzer Pebesma: “R-spatial updates: sf, sftime, stars”

- [Video part I](https://doi.org/10.5446/59401)

- [Video part II](https://doi.org/10.5446/59406)

- [Workshop materials](https://github.com/edzer/OGH22)

### Christian Autermann: “GeoNode as Research Data Infrastructure”

### Martijn Visser; Maarten Pronk: “JuliaGeo: a gentle introduction”

- [Video](https://doi.org/10.5446/59405)

- [Workshop materials](https://github.com/evetion/OGH2022)

### Martin Fleischmann: “Introduction to GeoPandas and its Python ecosystem” 

- [Video](https://doi.org/10.5446/59414)

- [Workshop materials](https://github.com/martinfleis/opengeohub2022-tutorial)

### Krzystof Dyba: “Benchmarking R and Python for spatial data processing”

- [Video](https://doi.org/10.5446/59407)

- [Workshop materials](https://github.com/kadyb/OGH2022)

### Ben Graeler: “Extreme events session”

- [Workshop materials](https://github.com/BenGraeler/ogh2022)

### Leandro Parente: “Accessing and using data cubes: spatial overlay, visualization and modeling – Python tutorial”

- [Video](https://doi.org/10.5446/59408)

- [Workshop materials](https://gitlab.com/leal.parente/geo-snippets/-/blob/main/data_cubes/Accessing_and_using_data_cubes_summer_school_2022.ipynb)

### Markus Abel: “Stochastic processes, analysis, examples (Python tutorial)”

- [Video](https://doi.org/10.5446/59416)

### Edzer Pebesma & Leandro Parente: “Geo-arrow and geo-parquet”

- [Video](https://doi.org/10.5446/59418)

- [Workshop materials #1](https://edzer.github.io/OGH22/columnar.html)

- [Workshop materials #2](https://gitlab.com/leal.parente/geo-snippets/-/blob/main/lidar/icesat2_atl08.ipynb)

### Ribana Roscher: “Explainable ML”

- [Video](https://doi.org/10.5446/59417)

- [Slides #1](https://github.com/Nowosad/OGH_summer_school_2022/raw/main/resources/lecture-KISTE_SS_roscher_partI.pdf)

- [Slides #2](https://github.com/Nowosad/OGH_summer_school_2022/raw/main/resources/lecture-KISTE_SS_roscher_partII.pdf)

### Patrick Schratz: “Introduction to mlr3 (R tutorial)” and Patrick Schratz & Leandro Parente: “Spatial modeling using mlr3 (R tutorial)”

- [Video](https://doi.org/10.5446/59409)

- [Workshop materials #1](https://github.com/mlr-org/opengeohub-summer-school-2022)

- [Workshop materials #2](https://gitlab.com/leal.parente/geo-snippets/-/tree/main/mlr3)

### Hanna Meyer: “ML in R: how to deal with extrapolation and overfitting problems”

- [Video](https://doi.org/10.5446/59412)

- [Workshop materials](https://github.com/HannaMeyer/OpenGeoHub_2022)

### Tim Appelhans: “Visualization cloud-optimized (large) datasets in R (R tutorial)”

- [Video](https://doi.org/10.5446/59410)

- [Workshop materials #1](https://cn-raster-data-vis.s3.eu-central-1.amazonaws.com/cn-raster-data-vis.html)

- [Workshop materials #2](https://cn-vector-data-vis.s3.eu-central-1.amazonaws.com/cn-vector-data-vis.html)

- [Workshop materials #3](https://cn-data-creation.s3.eu-central-1.amazonaws.com/cloud_optimised_data.html)

### Other

- [Hackathon instructions](https://gitlab.com/leal.parente/geo-snippets/-/blob/main/hackathon/pasture_classification_summer_school_2022.ipynb)

- [Winning hackathon submission by Francisco Zambrano](https://frzambra.github.io/Hackaton1/report_hack1.html)