________________________________________
From: R-sig-Geo <r-sig-geo-bounces at r-project.org> on behalf of Josiah
Parry <josiah.parry at gmail.com>
Sent: 24 April 2024 17:58
To: Christopher W. Ryan
Cc: r-sig-geo at r-project.org
Subject: Re: [R-sig-Geo] Learning Resources Spatial Regression Models
from the ground up
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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 at 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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