Visualizing Geospatial Data in Python

This is the example notebooks on geospatial visualizations in python from the talk at the PyData Copenhagen meetup on the 27th of February 2020: https://www.meetup.com/PyData-Copenhagen/events/268779346/

Environment

Assuming you have a basic conda environment set up (such as miniconda) you can then create the correct enviroment using:

conda env create -n geospatial -f environment.yml

conda activate geospatial

conda remove --name geospatial --all

Name		Name	Last commit message	Last commit date
Latest commit History 39 Commits
data		data
.gitignore		.gitignore
1-geospatial.ipynb		1-geospatial.ipynb
2-bokeh-demo.py		2-bokeh-demo.py
3-datashader-holoviews.ipynb		3-datashader-holoviews.ipynb
4-datashader-movie-zoom.ipynb		4-datashader-movie-zoom.ipynb
5-datashader-movie-timeseries.ipynb		5-datashader-movie-timeseries.ipynb
6-kepler.ipynb		6-kepler.ipynb
README.md		README.md
environment.yml		environment.yml