an official journal of: published by:
an official journal of: published by:
Editor in Chief: RAFFAELLO COSSU


  • Kristyna Rybova - Department of Demography and Geodemography, Charles University, Czech Republic
  • Boris Burcin - Department of Demography and Geodemography, Charles University, Czech Republic
  • Jan Slavik - Faculty of Social and Economic Studies, Jan Evangelista Purkyně University in Ústí nad Labem, Czech Republic

Released under CC BY-NC-ND

Copyright: © Cisa Publisher


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.


Editorial History

  • Received: 03 Jan 2018
  • Revised: 07 Mar 2018
  • Accepted: 19 Mar 2018
  • Available online: 31 Mar 2018


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