Open Source Spatial Analysis Tools for Python: A Quick Guide • Hacker News Board

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

Re: Open Source Spatial Analysis Tools for Python: A Quick Guide

#15

Post by Pablo1856 » Thu, Apr 30, 2020, 1:33 AM UTC

guynirpaz wrote: post #5

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

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

Re: Open Source Spatial Analysis Tools for Python: A Quick Guide

#16

Post by Pablo1856 » Thu, Apr 30, 2020, 1:40 AM UTC

kndjckt wrote: post #14

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.

Re: Open Source Spatial Analysis Tools for Python: A Quick Guide

#17

Post by chaoslawful » Thu, Apr 30, 2020, 2:14 AM UTC

Great article!

Re: Open Source Spatial Analysis Tools for Python: A Quick Guide

#18

Post by Pablo1856 » Fri, May 01, 2020, 11:12 PM UTC

kndjckt wrote: post #14

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

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