Spatial and non-spatial analysis of socio-demographic aspects influencing municipal solid waste generation in the Czech Republic
Abstract
Municipal solid waste generation has been analyzed in broad range of studies but most of the studies neglect the spatial aspect of analyzed datasets. This paper's aim is to explore spatial dependency in relations between municipal solid waste generation and socio-demographic aspects.
The results obtained using geographically weighted regression are compared with results of widely used ordinary least square regression. Even though both methods found the same significant socio-demographic aspects, we were able to explain much higher share of intermunicipal variability using the geographically weighted regression because this method is able to consider changing strength and even direction of relation in different spatial units.
Geographically weighted regression can therefore better mirror the local situation and could be successfully utilized to plan waste management activities at local scale.