… study, spatial dependence analysis indentified a spatial relationship … Spatial modelling
corroborated the importance of socioeconomic factors and sanitation conditions in the spatial …

… In our study we use the queen criterion of the R packages spdep, spatialreg, rgdal, maptools,
leaflet and RcolorBrewer, to get the weights matrix we use two functions, poly2nb and …

… The spatial autoregressive models were built and tested with the spatialreg and lmtest
packages. The spatial data management was conducted using the package sf. …

… process or from spatially heterogeneous exogenous … spatial regression models for the
prediction of unseen test data that is subject to various kinds of heterogeneity. We simulate spatial …

… been mentioned, either most sp-based workflows continue to function using sf objects or
changes have been made in packages like spdep and its modelling counterpart spatialreg to …

… Construct spatial regression models that overcome the shortcomings of classical analytical
… mortality research, including ordinary least squares (OLS) that ignores spatial effects. …

… spatial regression framework to account for potential non‐linearities and spatial effects in
spatial regression models… variables in the spatial regression model—including the spatial lag of …

… to conduct all related spatial regression analyses and the … In order to create a suitable
spatial regression model, this study … “spatialreg” of the R language to construct the spatial cross-…

… are obtained through GIS analysis, and then quantified as independent variables explaining
LST variations over grids of varying sizes with spatial regression models. The estimation …

… basic geographically weighted regression (GWR) and multiscale GWR (MGWR), where
only the latter enables relationships to vary at their own spatial scale. In terms of model fit, both …