[R-sig-Geo] Imputation of aggregate data for spatial analysis

[Amitha Puranik]

Hello everyone!

I have data on the proportion of screening of cervical cancer at
district-level. I have about 530 data points out of the 545 districts. I
want to get a complete picture of the data in order to obtain the spatial
cluster map using LISA (local indicators of partial autocorrelation).

Would it be alright if I impute the missing values of the proportion for
the 15 districts using multiple imputation?

Or is there a better way for imputation in this case?

Any suggestion/ comment is highly appreciated!

Regards,
Amitha

	[[alternative HTML version deleted]]