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This is a pretty long post that I published today all about spatial joins. Here is the tricky thing about spatial joins:
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1. They are the backbone of spatial analytics. Understanding how two (or more) things relate to each other is a foundational concept in geography and being able to do them efficiently is key.
2. They can be a pain in the neck. If you had a desktop app crash or a Python script running forever but you never knew when it would end, then you know what I am talking about.

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But how well do we know a spatial join and the science behind them? What is going on under the hood? How to make them faster and what tool to pick? And how do cloud-native file formats fit into this?

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Well I just put up a long post about this on my blog that I would invite you to check out. Take a look and let me know your thoughts!

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Check out the post on spatial joins

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Best,

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Matt