Is it possible to impute missing values in spatial data when the missingness is *MNAR (non-ignorable)*? Can pattern mixture model or selection model be modified to incorporate autocorrelation property and used in this context? Any suggestion/opinion is appreciated.
Thanks in advance,
Amitha Puranik
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