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

[Renato Assunção]

Thank you so much for sharing!
Renato

Em qua., 24 de abr. de 2024 às 13:58, Roger Bivand <Roger.Bivand using nhh.no>
escreveu:

> Renato, friends,
>
> This repo: https://github.com/rsbivand/kk_spatial_book has updated code
> for Katarzyna Kopczwska's book to work after rgdal etc. were retired. I
> used it in a talk last November which explains what is going on - please
> contact me if you'd like a copy of the slides.
>
> Roger
>
> --
> Roger Bivand
> Emeritus Professor
> Norwegian School of Economics
> Postboks 3490 Ytre Sandviken, 5045 Bergen, Norway
> Roger.Bivand using nhh.no
>
> ________________________________________
> From: R-sig-Geo <r-sig-geo-bounces using r-project.org> on behalf of Renato
> Assunção <assuncaoest using gmail.com>
> Sent: 24 April 2024 18:50
> To: Josiah Parry
> Cc: r-sig-geo using r-project.org
> Subject: Re: [R-sig-Geo]  Learning Resources Spatial Regression Models
> from the ground up
>
> [You don't often get email from assuncaoest using gmail.com. Learn why this is
> important at https://aka.ms/LearnAboutSenderIdentification ]
>
> Hi Josiah,
> this book may be useful:
>
> @book{kopczewska2020applied,
>   title={Applied spatial statistics and econometrics: data analysis in R},
>   author={Kopczewska, Katarzyna},
>   year={2020},
>   publisher={Routledge}
> }
>
> https://tinyurl.com/3v6k5y2h
> Renato Assunção
>
>
> Em qua., 24 de abr. de 2024 às 13:25, Roger Bivand <Roger.Bivand using nhh.no>
> escreveu:
>
> > Please also consider:
> >
> > @book{lesage+pace:09,
> >    author={James P. {LeSage} and R. Kelley Pace},
> >    title={Introduction to Spatial Econometrics},
> >    year={2009},
> >    publisher={Chapman and Hall/CRC},
> >    address={Boca Raton FL}
> > }
> >
> > which provides the underpinnings to Golgher & Voss just suggested by
> > Dexter. A good deal has been going on recently, both about spillovers,
> and
> > very recent work by Bera & Koley on Rao score tests (aka Lagrange
> > multiplier tests). I have some notes but no recording from recent
> lectures,
> > so the notes are skeletal at best:
> > https://rsbivand.github.io/PG_AGII_2sem/. In SDSr, my focus was on
> > pointing up the topics areas where spatial econometrics could very well
> > benefit from the much larger community in disease mapping and in ecology.
> > In both of these broad communities, the dependent variable is often
> > discrete, and both of these draw lots of maps. I haven't yet got
> Modelling
> > Spatial and Spatial-Temporal Data: A Bayesian Approach by Haining & Li,
> and
> > expect it to be useful.
> >
> > Hope this helps,
> >
> > Roger
> >
> > --
> > Roger Bivand
> > Emeritus Professor
> > Norwegian School of Economics
> > Postboks 3490 Ytre Sandviken, 5045 Bergen, Norway
> > Roger.Bivand using nhh.no
> >
> > ________________________________________
> > From: R-sig-Geo <r-sig-geo-bounces using r-project.org> on behalf of Josiah
> > Parry <josiah.parry using gmail.com>
> > Sent: 24 April 2024 17:58
> > To: Christopher W. Ryan
> > Cc: r-sig-geo using r-project.org
> > Subject: Re: [R-sig-Geo]  Learning Resources Spatial Regression Models
> > from the ground up
> >
> > [You don't often get email from josiah.parry using gmail.com. Learn why this
> is
> > important at https://aka.ms/LearnAboutSenderIdentification ]
> >
> > 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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