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

[Dexter Locke]

in GeoDA  Luc Anselin and Sergio J. Rey. (2014). Modern Spatial
Econometrics in Practice: A Guide to GeoDa, GeoDaSpace and PySAL. [link to
book]
<https://www.amazon.com/Modern-Spatial-Econometrics-Practice-GeoDaSpace/dp/0986342106?ie=UTF8&keywords=anselin%20spatial%20econometrics&qid=1421531753&ref_=sr_1_1&sr=8-1>

Exploring Spatial Data with GeoDa: A Workbook (2005; 244 pp.,5.1Mb)
https://geodacenter.github.io/docs/geodaworkbook.pdfhttps://geodacenter.github.io/docs/geodaworkbook.pdf
Chapters
17, 18, 21, 22 - 25.

More conceptually advanced, at least look at figure 1: Golgher, A. B., &
Voss, P. R. (2016). How to Interpret the Coefficients of Spatial Models:
Spillovers, Direct and Indirect Effects. Spatial Demography, 4(3), 175–205.
https://doi.org/10.1007/s40980-015-0016-y

-Dexter


On Wed, Apr 24, 2024 at 12:03 PM Josiah Parry <josiah.parry using gmail.com>
wrote:

> 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.
> > >
> > >       [[alternative HTML version deleted]]
> > >
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> > >
> >
>
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