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Infographic showing general course contents: · 1. Geometric objects · 2. Geospatial data in Python · 3. Choropleth mapping · 4. Spatial weights · 5. Spatial autocorrelation · 6. Spatial clustering · 7. Point pattern analysis · 8. OpenStreetMap and OSMnx · 9. Spatial networks · 10. Bicycle networks · 11. Individual mobility · 12. Mobility patterns · 13. Aggregate mobility and urban scaling · 14. Sustainable mobility and geospatial epidemiology ·

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Infographic showing general course contents: · 1. Geometric objects · 2. Geospatial data in Python · 3. Choropleth mapping · 4. Spatial weights · 5. Spatial autocorrelation · 6. Spatial clustering · 7. Point pattern analysis · 8. OpenStreetMap and OSMnx · 9. Spatial networks · 10. Bicycle networks · 11. Individual mobility · 12. Mobility patterns · 13. Aggregate mobility and urban scaling · 14. Sustainable mobility and geospatial epidemiology ·
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Michael Szell (mszll@datasci.social)'s status on Wednesday, 02-Oct-2024 19:00:09 JST Michael Szell

Nice, our #Geospatial Data Science 🌐 course materials reached 500 stars on Github! ⭐🤩
https://github.com/mszell/geospatialdatascience
We aim to update it yearly with new developments.

In conversation about 2 months ago from datasci.social permalink