Talk given at Pydata Global on December 2, 2022.
Everything happens somewhere! Putting your data on maps brings great insights. This will be a quick introduction to some of the tools in the Python ecosystem for working with spatial data: Folium for creating interactive maps, Geopandas for analyzing spatial data, Contextily for taking advantage of all the maps available on servers around the world, and RasterIO for working with raster data.
The presentation was done in a Jupyter Notebook using the RISE extension. RISE adds the power of running Python code to your presentations.
You can see the examples from the presentation in the Notebook. Some examples are based on a data file also available in this repo.
The presentation has also been converted to a plain Python file using the excellent Jupytext tool.
- Countries Shapefile: Downloaded from Natural Earth.
- Digital Surface Model: Downloaded from Høydedata
- Holmenkollen arena, polygon: Manually drawn at geojson.io