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> 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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