Hi,
I have a very large dataset and I would like to try using robust GWR since I
have a lot of outliers after the initial GWR fit. I am using the method in
Brundsdon et al. page 78. They state to take the weights of each observation
from GWR and multiply them to the "downweights" (a reweighting of the
original weights that takes into consideration how far an outlier is from
the norm). My question is, how can I use these weights to fit a new GWR
model?

Thanks,
Ryan

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