Local models for the analysis of spatially varying relationships in a lignite deposit

TÜTMEZ B., Tercan A. E., Kaymak U., Lloyd C. D.

Joint World Congress of International-Fuzzy-Systems-Association (IFSA)/European Conference of European-Society-for-Fuzzy-Logic-and-Technology (EUSFLAT), Lisbon, Portugal, 20 - 24 July 2009, pp.351-356 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • City: Lisbon
  • Country: Portugal
  • Page Numbers: pp.351-356
  • Hacettepe University Affiliated: Yes


Relationships between geographically referenced variables are usually spatially heterogeneous and, to account for such variations, local models are necessary. This paper compares the Geographically Weighted Regression (GWR) model, usually used to integrate and examine the spatial heterogeneity of a relationship, and the Fuzzy Clustering-Based Least Squares (FCBLS) model for the analysis of spatially varying relationships. Both models use the same model parameters and bandwidth values derived from the Akaike Information Criterion. The results show that FCBLS outperforms the GWR model.