Open Source Spatial Analysis Tools for Python: A Quick Guide | Hacker News Reader

Open Source Spatial Analysis Tools for Python: A Quick Guide

makepath.com

50 pointsPablo185617 comments

No mention of H3! The hexagonal spatial index https://eng.uber.com/h3/ . This library has been a game changer for my work. Before I had to create hexagonal grids using shapely and then use spatial joins to aggregate the data. With H3 you can go from a point to a hex really quickly.

Here’s the python wrapper for the library- https://github.com/uber/h3-py

Thank you! We'll consider it for the next revision.

@kndjckt we just added H3 to the post per your suggestion. Thank you!

Would any of these be useful for working with Johns Hopkins Covid-19 data? There are some web interfaces but analyzing and visualizing with Python would be more flexible.

(https://data.humdata.org/dataset/novel-coronavirus-2019-ncov...).

Absolutely! The team at makepath is currently working with Safegraph data to tackle Covid along with SUNY-ESF. I will pass this along to the team. https://makepath.com/covid-19-public-private-partnership-syr...

Great article, very well written and clear. Also with COVID - very relevant for many of us.

Agreed on the Covid part.

Thank you! Yes, we are putting these to work on the COVID issue with the Safegraph data consortium

Awesome list. I've been playing with Fiona for a few years, but I'll need to take a look at some of these other modules like Shapely.

We put together a list of free spatial analysis tools for Python. Please let us know your comments and/or ideas.

Cool, Might have to write a python submodule to use some of this sometime, since we do have a lot of geo data.

This is a great summary, I'll take a harder look at these

Thanks for putting this together, Pablo. Super insightful!

Great article!

Great Insight!

Great article!

Great list!

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