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Dear R users, Are you worried about the parallel trends assumption in your panel regression? Use fixed effects individual slope models, controlling for heterogeneous trends! I am very pleased to announce that the package feisr is now available on CRAN...

Dear list members, I?m currently estimating a fixed effects panel model and I want to control for spatial dependence. Thus, I also estimated two spatial fe-models, one with a spatial error term and one with a spatial error...

Dear R users, Are you worried about the parallel trends assumption in your panel regression? Use fixed effects individual slope models, controlling for heterogeneous trends! I am very pleased to announce that the package feisr is now available on CRAN...

Dear list members, I am trying to construct a road network with traffic estimates for each road segment. I have count data of the traffic for a subset of the segments and I have the road network as spatial lines...

Dear Roger, thanks for your answer! > > Dear list members, > > > > I'm currently estimating a fixed effects panel model and I want to > > control for spatial dependence. Thus, I also estimated two spatial > > fe-models, one with a spatial error term...

Dear Isa-May, I think the easiest way is to use the choropleth command of the GISTools package (ggplot is another option). However, you have to transform your dataframe into a SpatialPolygonsDataFrame. That means you need to merge your dataframe...

Dear Roger, Thank you very much for your reply! > Von: Roger Bivand [mailto:Roger.Bivand at nhh.no] > Gesendet: Samstag, 10. Oktober 2015 15:11 > > You cross-posted to this list and r-help - never do that - it > splinters any...

Dear r-sig-geo team, I started working with spatial analysis some month ago, so I'm quite new (and unknowing ) in this field. However, my aim is to connect time series analysis with spatial analysis, what seems to be...

Dear r-sig-geo team, I started working with spatial analysis some month ago, so I'm quite new (and unknowing ) in this field. However, my aim is to connect time series analysis with spatial analysis, what seems to be...

Dear Amitha, If understand your query correctly, you could also have a look at my preprint on Monte Carlo simulations of different spatial regression models: https://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/5630. The replication materials are...

Dear all, though this is an old issue by now (but still one of the first google results on the topic), here is some code answering one of the questions: should you demean the spatial lag or lag the demeaned...

Dear Daniel, yes, that is basically the same answer to the problem. With time-series SLX you need to create a pseries and then apply slag. A second solution (using a data.frame) would be to apply lag.listw to...

> -----Urspr?ngliche Nachricht----- > Von: R-sig-Geo [mailto:r-sig-geo-bounces at r-project.org] Im Auftrag von > Maryia Bakhtsiyarava > Gesendet: Montag, 15. Februar 2016 03:59 > An: R-sig-geo Mailing List <r-sig-geo at r-project...

Thanks again for the additional comments, Roger and Thierry! I've tried a couple of things in the meantime. An empty Besag or intrinsic CAR model shrinks extreme values very strongly towards the overall mean (one would somehow need to...

Thank you very much for the hint, Roger! Completely right, a Gaussian process actually does not make too much sense in this case. I'll have a look into INLA and see if I can work with that. For now...