39 - Trying to convert census tracts to hexagons
I’m working on combining my geographic data using Uber’s H3 library. I’m starting with the census tract data because I have clean polygon and latitude/longitude data. Today I worked on creating an efficient way to represent the census tract using H3’s hexes.
My approach a couple of days ago was to just stitch together all of the census tracts and then try to fill with high-resolution hexes, which overloaded my machine. Instead, Now I’m trying to efficiently fill the tracts individually and then combine them together. I suspect I will be able to port this work over to the zip codes/neighborhoods when I get to that part with the Zillow data.
Here is my goal for how to fill the census tracts, taken from
this useful guide that I’m following:
When I get to the raster data section from Ursa Space I can use this package for the same purpose.
I also re-downloaded all of the census data and set up pyenv, jupyter notebook, and other important dev tools.
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