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.pa...@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 <cr...@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]] > > > > > > _______________________________________________ > > > R-sig-Geo mailing list > > > R-sig-Geo@r-project.org > > > https://stat.ethz.ch/mailman/listinfo/r-sig-geo > > > > > > > [[alternative HTML version deleted]] > > _______________________________________________ > R-sig-Geo mailing list > R-sig-Geo@r-project.org > https://stat.ethz.ch/mailman/listinfo/r-sig-geo > [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo