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

[Christopher W. Ryan]

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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