Local models for the analysis of spatially varying relationships in a lignite deposit
Küçük Resim Yok
Tarih
2009
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
European Soc Fuzzy Logic & Technology
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
Joint World Congress of International-Fuzzy-Systems-Association (IFSA)/European Conference of European-Society-for-Fuzzy-Logic-and-Technology (EUSFLAT) -- JUL 20-24, 2009 -- Lisbon, PORTUGAL
Anahtar Kelimeler
GWR, local model, weighted regression, fuzzy clustering, lignite
Kaynak
Proceedings of The Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
