Parcel scale or aggregation

Hello.

This is more of a research design question?than a spatial 
analysis?question.

If you research question pertains to parcels and you have parcel data, 
then why aggregate?

Neighborhood-level attributes can be important. They can be 
included?by attributing parcels with their neighborhood 
characteristics, with random effects at the neighborhood scale, among 
other techniques.

The chosen method depends on the research?questions.

-Dexter



On Tue, Apr 21, 2020 at 9:34 AM John Morgan <jmorgan3 at uwf.edu 
<mailto:jmorgan3 at uwf.edu>> wrote:

    Hello, I am working on preparing data for to run in a spatial
    autoregression model (probably SEM). You are one of the most well
    grounded people I am aware of in this type of methodology. I am
    hoping you can
    help me with a simple question.

    My question is this: we have the data at the scale of the parcel (or
    household) and there are a couple of hounded thousand records
    across the
    size of a large metropolitan area. When feeding the data into the
    model, is there
    a reason/requirement to aggregate our data variable to some
    boundary scale
    such as a city block? Or is it ok to keep it at the parcel scale?
    We are
    interested in analyzing characteristics at e.g. household level
    similar to
    a hedonic model.

    Thanks for any feedback.

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