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

[Amitha Puranik]

Dear Prof Roger,

Thanks a lot for that suggestion!

Kind regards,
Amitha.













On Mon, Oct 19, 2020 at 1:51 PM Roger Bivand <Roger.Bivand using nhh.no> wrote:

> On Mon, 19 Oct 2020, Amitha Puranik wrote:
>
> > 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?
>
> Please do not even consider imputation of this kind of data, especially if
> LISA is your tools. It makes no sense at all.
>
> If, however, you model the screening proportions at district level, and
> have a model that fits well using multiple well-observed covariates, both
> INLA and other model fitting approaches can predict for unobserved
> responses. However, in such cases, the model will have used the spatial
> autocorrelation already (for example in a BYM model, see for example here:
> http://www.paulamoraga.com/book-geospatial-info/), so putting the
> posterior distributions at unobserved locations into a LISA makes no
> sense, because the imputation alrready uses spatial autocorrelation.
> Modelling, if you have relevant covariates, and model preferably using
> Poisson reression offset by log size of age-selected female population,
> makes much more sense than LISA.
>
> Hope this helps,
>
> Roger
>
> >
> > Or is there a better way for imputation in this case?
> >
> > Any suggestion/ comment is highly appreciated!
> >
> > Regards,
> > Amitha
> >
> >       [[alternative HTML version deleted]]
> >
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> >
>
> --
> Roger Bivand
> Department of Economics, Norwegian School of Economics,
> Helleveien 30, N-5045 Bergen, Norway.
> voice: +47 55 95 93 55; e-mail: Roger.Bivand using nhh.no
> https://orcid.org/0000-0003-2392-6140
> https://scholar.google.no/citations?user=AWeghB0AAAAJ&hl=en
>

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