Thank you so much for sharing! Renato Em qua., 24 de abr. de 2024 às 13:58, Roger Bivand <[email protected]> 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 > [email protected] > > ________________________________________ > From: R-sig-Geo <[email protected]> on behalf of Renato > Assunção <[email protected]> > Sent: 24 April 2024 18:50 > To: Josiah Parry > Cc: [email protected] > Subject: Re: [R-sig-Geo] Learning Resources Spatial Regression Models > from the ground up > > [You don't often get email from [email protected]. 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 <[email protected]> > 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 > > [email protected] > > > > ________________________________________ > > From: R-sig-Geo <[email protected]> on behalf of Josiah > > Parry <[email protected]> > > Sent: 24 April 2024 17:58 > > To: Christopher W. Ryan > > Cc: [email protected] > > Subject: Re: [R-sig-Geo] Learning Resources Spatial Regression Models > > from the ground up > > > > [You don't often get email from [email protected]. 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 < > [email protected] > > > > > 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]] > > > > > > > > _______________________________________________ > > > > R-sig-Geo mailing list > > > > [email protected] > > > > https://stat.ethz.ch/mailman/listinfo/r-sig-geo > > > > > > > > > > > [[alternative HTML version deleted]] > > > > _______________________________________________ > > R-sig-Geo mailing list > > [email protected] > > https://stat.ethz.ch/mailman/listinfo/r-sig-geo > > _______________________________________________ > > R-sig-Geo mailing list > > [email protected] > > https://stat.ethz.ch/mailman/listinfo/r-sig-geo > > > > [[alternative HTML version deleted]] > > _______________________________________________ > R-sig-Geo mailing list > [email protected] > https://stat.ethz.ch/mailman/listinfo/r-sig-geo > [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-geo
