[R-sig-Geo] Parcel scale or aggregation

[Dexter Locke]

Yes, those functions should work provided your data are shaped correctly
(they sound like they are).

I imagine the results will be sensitive the chosen spatial weights matrix.
That choice indirectly gets to your point about aggregation. Some types of
weights may include spatial neighbors that might assimilate neighborhoods
or blocks.

Good luck!

-Dexter
http://dexterlocke.com/


On Tue, Apr 21, 2020 at 11:23 AM derek <jmorgan3 using uwf.edu> wrote:

> Dexter.
>
> Your point that it is more of a research design question is well taken,
> but I figured if anyone would know it would be a group of folks using R for
> spatial analysis. The research question does pertain to the parcels and the
> explanatory variables will be computed at that scale. I just didn't know if
> that matter per say for functions like sarlm() or or gmerrorsar(). It
> sounds like not so much as they will be treat the same as rows in a data
> frame regardless of what scale they are at.
>
> Thanks,
>
> Derek
> On 4/21/2020 9:59 AM, Dexter Locke wrote:
>
> 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 using 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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>>
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> --
> John Derek Morgan, Ph.D., GISP
> Assistant Professor of GIS
> Earth & Environmental Sciences
> University of West Floridahttps://uwf.edu/go/gis/https://pages.uwf.edu/jmorgan3
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