For reference: I understand regular PCA-for-matrices, though the spatial variation they do is new to me. And I have a basic grounding in statistics, though I'm not an expert.
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Does anyone have a pointer to a good in-depth tutorial explanation of how the famous hockey stick graph (for temperature) is constructed? I've been reading the original paper by @MichaelEMann et al, & there's parts of the PCA spatial analysis & statistics I don't yet understand
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Thanks. Twitter will use this to make your timeline better. UndoUndo
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I do my best to explain PCA (and it's use in our study) in "The Hockey Stick and the Climate Wars": https://www.amazon.com/Hockey-Stick-Climate-Wars-Dispatches/dp/0231152558/ … Here's a snippet:pic.twitter.com/sXqJUnhMUY
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Thanks! Just purchased the Kindle edition!
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