Comments (2)
By default, the truncate
parameter in adaptive_gauss
from kernels.py
is set to be False
, while change that to True
gives the following AICc curve. Also attached the kernel function lines. It is like after truncate point (beyond local neighbors), the gaussian still has pretty large weights.
def adapt_gauss(coords, nn, points=None, dmat=None,sorted_dmat=None):
w = _Kernel(coords, fixed=False, k=nn-1, function='gwr_gaussian',
truncate=**True**, points=points, dmat=dmat,sorted_dmat=sorted_dmat)
return w.kernel
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Closing this as the discussion was moved to a private repo.
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Related Issues (15)
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