[R-sig-Geo] Learning Resources Spatial Regression Models from the ground up

Josiah Parry jo@|@h@p@rry @end|ng |rom gm@||@com
Wed Apr 24 17:58:17 CEST 2024


Thank you, Chris! I can take a look at the first resource. At the moment my
interest is specifically in spatial econometric models and less so about
point patterns (for the time being).

On Wed, Apr 24, 2024 at 11:51 AM Christopher W. Ryan <cryan using binghamton.edu>
wrote:

> Josiah--
>
> I've found the following very helpful over the years:
>
> Geographic Information Analysis, by David O'Sullivan and David Unwin
>
> Spatial Point Patterns, by Adrian Baddeley, Ege Rubak, and Rolf Turner
>
> Applied Spatial Data Analysis with R, by Roger Bivand, Edzer Pebesma,
> and Virgilio Gomez-Rubio
>
> Statistical Analysis of Spatial and Spatio-Temporal Point Patterns
>
> The last 3 are, as the titles imply, focused specifically on spatial
> point patterns. The first is a bit more general, including methods for
> areal data.
>
> I listed them in increasing order (in my opinion) of mathemtical
> complexity.
>
> --Chris Ryan
>
> In
> Josiah Parry wrote:
> > Hey folks,
> >
> > I'm hoping to build up my knowledge around spatial regression techniques
> > from the ground up—e.g. I'm not interested in R-INLA or other
> exceptionally
> > complex techniques.
> >
> > I'm hoping this listserv has some recommendations for what readings /
> > models I should prioritize learning about in, possibly, an opinionated
> > order.
> >
> > At the moment I've purchased "Modern Spatial Econometrics in Practice" by
> > Luc Anselin and Sergio Rey and will try to work through that. But if
> there
> > are additional resources that folks recommend that are friendly for the
> > not-so-math-inclined, I'd love to have a look at them!
> >
> > The Spatial Regression section of the R-spatial book (
> > https://r-spatial.org/book/16-SpatialRegression.html) is good but with
> less
> > handholding than I might need.
> >
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> >
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