improve: meaningfulness – i.e. remove the examples of HTML tags in the HTML comment, since they hinder correctly performing the transclusion in the 'target pages'
Spatial statistical models (aka geographically weighted models, or merely spatial models) like the geographically weighted regressions, SNNs/GWNNs, etc., are spatially tailored (a-spatial/classic) statistical models, so to learn and model the deterministic components of the [[spatial variability]] (i.e. [[Spatial analysis#Spatial dependence|spatial dependence/autocorrelation]], [[spatial heterogeneity]], [[Spatial analysis#Spatial association|spatial association/cross-correlation]]) from the geo-locations of the geo-spatial datasets’ [[Statistical unit|(statistical) individuals/units]].<ref name="Anselin (2017)">{{cite report |author=Anselin L |date=2017 |title=A local indicator of multivariate spatial association: extending Geary’s C |publisher=Center for Spatial Data Science |pages=27 |url=https://geodacenter.github.io/docs/LA_multivariateGeary1.pdf}}</ref><ref name="Fotheringham et al. (2021)">{{cite journal |vauthors=Fotheringham S, Sachdeva M |date=2021 |title=Modelling spatial processes in quantitative human geography |journal=Annals of GIS |doi=10.1080/19475683.2021.1903996}}</ref><ref name="Hagenauer et al. (2021)"/><ref name="Lu et al. (2023)"/>