P Rivadeneyra, L Scaccia, L Salvati - Scientific Reports, 2023 - nature.com
… spatialregressionmodels, hence, the Spatial Lag of X (SLX) model, the Simultaneous Autoregressive (SAR) model… We use spatialregression 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 (…
C Conigliani, V Costantini, G Finardi - Spatial Economic Analysis, 2022 - Taylor & Francis
… models have been estimated as pooled models with the R package spatialreg in which the unobserved spatial … Footnote 12 The spatialregressionanalysis exploits an inverse distance (…
S Hawinkel, S De Meyer, S Maere - Frontiers in plant science, 2022 - frontiersin.org
… , feature selection, and model evaluation. We evaluate a number of spatialregression methods in a simulation study, including more realistic spatial effects than employed so far. Based …
… It also compares the results of pspatreg with the spatialreg package for parametric spatial regressionmodels. Lastly, the third vignette provides some insights into spatio-temporal …
… spatial structures and spatial autocorrelation effects in the variables, and then the main spatial regressionmodels … lmSLX {spatialreg} fits a SLX model, ie, an OLS model augmented with …
R Bivand - Geographical Analysis, 2022 - Wiley Online Library
… 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 …