This research is concerned with a statistical method that has recently become widespread
in the international literature; although, it is still limited in Hungarian research. The method
is geographically weighted regression (GWR), which is demonstrated through an example
of its application. GWR is a local model that is founded on the basis of regression,
prominently taking into consideration the geographical distance. Since it does not calculate
the global relations of the whole data, but concentrates on the relationship of the dependent
and independent variables locally within a determined search area, it allows consideration
of the spatially varying processes. Simply, GWR is a developed version of the global
regression model, since, through its use, it is possible to take into account the local features
that are hidden by the global approac
