… that spatial regressions could be useful for analysing the relationship between healthcare
spatial accessibility … The spatialreg R package was used for this model [101]. To construct the …

… spatial regression models, hence, the Spatial Lag of X (SLX) model, the Simultaneous
Autoregressive (SAR) model… We use spatial regression both on a national and subnational scale. …

… For the estimation process, we adopt the library spatialreg, which has been recently developed
to enhance functions that were previously included in the spdep package. We follow a top…

… spatialreg package) permits the choice of method to compute the determinant of the spatial
… spatial weights matrix (using the trW() function of spatialreg) to speed up the computations. …

… Konsep Dasar Model SCR Spatial Cross Regressive (SCR) merupakan model regresi
spasial, dimana efek spasial melekat pada variabel independen (X). Menurut LeSage & Pace (…

… models have been estimated as pooled models with the R package spatialreg in which the
unobserved spatial … Footnote 12 The spatial regression analysis exploits an inverse distance (…

… It also compares the results of pspatreg with the spatialreg package for parametric spatial
regression models. Lastly, the third vignette provides some insights into spatio-temporal …

… , feature selection, and model evaluation. We evaluate a number of spatial regression methods
in a simulation study, including more realistic spatial effects than employed so far. Based …

… spatial structures and spatial autocorrelation effects in the variables, and then the main spatial
regression models … lmSLX {spatialreg} fits a SLX model, ie, an OLS model augmented with …

… In spdep and spatialreg, use is made of sparse neighbor objects to specify spatial weights
objects. Because nb_subset_s2 includes no-neighbor observations, the analyst is required to …