… S10), we turned to spatial regression models. We found that spatial lag models are generally
more … Specifically, we compared regression models with urban demographic share and …

… the OLS and spatial lag regression models are available in … , we evaluated spatial lag
regression models with an … the lagsarlm function from the “spatialreg” package 82 . We assessed …

… spatial error regression, as determined using the spatialreg R package [23,24]. Ordinary linear
regression was unable to be used given the spatial … in the residuals of most of the models. …

… of Spatial Error models (SEM), a class of spatial regression models widely used in the
spatial … 1In particular we used the spatialreg R package to estimate Full Likelihood [21], [22] …

… in spatial regression models and nonlinear relationships in spatially explicit GBDT models
for … To construct these models, R package spatialreg [46] was used. Both OLS and SAC …

… Given the spatial nature of the data, spatial Durbin models are used in addition to the
OLS model. The results show that demographic, cultural, educational, economic and spatial …

… by the GAMLSS beta regression model with spatial effects described in Section 3.3. The
second and the third columns show the estimates for a binary regression model with spatial and …

… , and spatialreg to construct spatial linear models and assess … Our regression models
demonstrated that elevation was … Our best fitting spatial model showed that these variables …

… The R-package spatialreg is used to get the out-of-sample predictions is a spatial … of an
initial regression model, whereas in our case it is done in the first step of the modelling strategy. …

… were performed in ArcGIS, and R version 4.0.0 was used for all data processing and
statistical models. Spatial error models were computed using the spatialreg package [23]. …