[R-sig-Geo] Spatial data when the missing mechanism is MNAR (non-ignorable)

[Amitha Puranik]

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

	[[alternative HTML version deleted]]